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AI learns to play Asteroids
 
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Using neuroevolution I trained an AI to play the game Asteroids and it nailed it. If you enjoy what I do and want more please consider supporting me on patreon https://www.patreon.com/CodeBullet Check out the source code https://github.com/Code-Bullet/AsteroidsAI music from flying tunes https://www.youtube.com/channel/UCdnkfU-V49Xpj_vNyP2BYlg songs used https://www.youtube.com/watch?v=KSN9LkWc5ks&index=21&list=PLNXt4mGJMAQrC7Q8Lnh1BhGOKcwW1gRtF https://www.youtube.com/watch?v=gd6GIz8ZILQ&list=PLNXt4mGJMAQrC7Q8Lnh1BhGOKcwW1gRtF&index=16 https://www.youtube.com/watch?v=8ZVdItaXCnY&list=PLNXt4mGJMAQrC7Q8Lnh1BhGOKcwW1gRtF&index=28
Views: 274583 Code Bullet
MarI/O - Machine Learning for Video Games
 
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MarI/O is a program made of neural networks and genetic algorithms that kicks butt at Super Mario World. Source Code: http://pastebin.com/ZZmSNaHX "NEAT" Paper: http://nn.cs.utexas.edu/downloads/papers/stanley.ec02.pdf Some relevant Wikipedia links: https://en.wikipedia.org/wiki/Neuroevolution https://en.wikipedia.org/wiki/Evolutionary_algorithm https://en.wikipedia.org/wiki/Artificial_neural_network BizHawk Emulator: http://tasvideos.org/BizHawk.html SethBling Twitter: http://twitter.com/sethbling SethBling Twitch: http://twitch.tv/sethbling SethBling Facebook: http://facebook.com/sethbling SethBling Website: http://sethbling.com SethBling Shirts: http://sethbling.spreadshirt.com Suggest Ideas: http://reddit.com/r/SethBlingSuggestions Music at the end is Cipher by Kevin MacLeod
Views: 6493633 SethBling
16 Games With Incredible Artificial Intelligence
 
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Artificial intelligence can make or break a video game. That is no exaggeration. Good AI can elevate average game to an excellent one, while at the same time, bad AI can turn a great concept into a poorly executed mess. Immersion, challenge, thrill, enjoyment, atmosphere- there are so many things that are dependent on a game’s AI. Which is why when we say that AI is perhaps one of the most important aspects of any modern video game, you know we’re not being hyperbolic. Just like anything else in the video games industry though, there are some developers and video games that handle artificial intelligence much better than others. Here, in this list, we’ve compiled what we feel are the sixteen games with the best AI we’ve ever seen. As always, if in any way you disagree with our selections, let us know why that is via your comments below. SUBSCRIBE FOR MORE VIDEOS: https://www.youtube.com/user/GamingBoltLive LIKE US ON FACEBOOK: https://www.facebook.com/GamingBolt-Get-a-Bolt-of-Gaming-Now-241308979564/?fref=ts FOLLOW US ON TWITTER: https://twitter.com/GamingBoltTweet
Views: 115713 GamingBolt
How Does VIDEO GAME AI Work?
 
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Artificial Intelligence, or AI, powers the behavior of every friend and foe in video games. We take a look at how they work. Subscribe for more: http://youtube.com/gameranxtv | Thumbnail: Eduardo Domínguez (https://twitter.com/EDSFOX)
Views: 890660 gameranx
Artificial intelligence, video games and the mysteries of the mind | Raia Hadsell | TEDxExeterSalon
 
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Artificial intelligence could be the powerful tool we need to solve some of the biggest problems facing our world, argues Raia Hadsell. In this talk, she offers an insight into how she and her colleagues are developing robots with the capacity to learn. Their superhuman ability to play video games is just the start. Raia is a senior research scientist on the Deep Learning team at DeepMind, with a particular focus on solving robotics and navigation using deep neural networks. --- TEDxExeterSalon: From driverless cars to diagnosis of medical imaging, artificial intelligence is being heralded as the next industrial revolution. But how does AI relate to us in all our glorious complex humanity? Our first TEDxExeterSalon explored the ways in which we’ll interact with algorithmic intelligence in the near future. TEDxExeter: Now in our 7th year, TEDxExeter is Exeter’s Ideas Festival with global reach, licensed by TED and organised by volunteers who are passionate about spreading great ideas in our community. More information: http://www.tedxexeter.com Production: http://www.youtube.com/familygamertv Filming: http://firstsightmedia.co.uk/ Raia Hadsell is a research scientist on the Deep Learning team at DeepMind. She moved to London to join DeepMind in early 2014, feeling that her fundamental research interests in robotics, neural networks, and real world learning systems were well-aligned with the agenda of Demis, Shane, Koray, and other members of the original team. Raia’s research at DeepMind focuses on a number of fundamental challenges in AGI, including continual and transfer learning, deep reinforcement learning, and neural models of navigation. Raia came to AI research obliquely. After an undergraduate degree in religion and philosophy from Reed College, she veered off-course (on-course?) and became a computer scientist. Raia’s PhD with Yann LeCun, at NYU, focused on machine learning using Siamese neural nets (often called a ‘triplet loss’ today) and on deep learning for mobile robots in the wild. Her thesis, ‘Learning Long-range vision for offroad robots’, was awarded the Outstanding Dissertation award in 2009. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
Views: 6807 TEDx Talks
NES Tetris Lua AI playing to 999999
 
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More projects at: http://www.sanderhendrickx.be --- AI written in Lua playing the original NES Tetris on the Bizhawk emulator until maximum score. The AI has no knowledge of the next tetromino. Excellent play near the end to get the last 300.000 points, including several Tetris clears from 15:30 onward. 06:00 100.000 09:35 250.000 10:50 327.000 lvl 29 12:54 500.000 16:38 999.999
Views: 50493 Sander Hendrickx
Artificial Intelligence Research in Games [AI & Games Lecture #1]
 
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The first in a multi-part series of public lectures on AI in games. Recorded on 20th October 2014 at the University of Derby. In this first video, we detail some of the most interesting work in using video games as benchmarks within the AI research community. This is largely focussed on four competition benchmarks: - The Ms. Pac-Man Competition - The Mario AI Competition - The 2K BotPrize - The Starcraft AI Competition Full credit must be given to the following authors of videos used in this presentation: "Ms. Pac-Man AI - ICE Pambush 3" (RTNO1) https://www.youtube.com/watch?v=Zo0YujjX1PI "ICEP-IDDFS (Ms. Pac-Man) vs Memetix (Ghosts)" (RTNO1) https://www.youtube.com/watch?v=Zo0YujjX1PI "Infinite Mario AI - Long Level" (Robin Baumgarten) https://www.youtube.com/watch?v=DlkMs4ZHHr8 "Infinite Mario AI vs Hard Level" (UCSCweber) https://www.youtube.com/watch?v=V06nEHw70b4 "CIG 2010 Level Generator Entry" (UCSCweber) https://www.youtube.com/watch?v=8Eu8sRV2yd4&index=46 "BotPrize Video" (Sean Williams) https://www.youtube.com/watch?v=mUNfjMDhCpM "2012 AIIDE StarCraft AI Competition - Highlight Reel" (serendib7) https://www.youtube.com/watch?v=jYzSffdvvwo The remaining videos have all been crafted by myself. More videos and articles on work in Ms. Pac-Man and Super Mario can be found at the following links: "The Mario AI Competition": http://www.patreon.com/creation?hid=614578 "What's the Deal with Pac-Man?": http://www.patreon.com/creation?hid=614536 For those interested in a copy of the slides (without videos), they can be found at: https://t2thompson.files.wordpress.com/2015/02/part-1-ai-research-in-video-games-minus-video.pptx
Views: 16695 AI and Games
How Games Use Artificial Intelligence To Play Hide & Seek
 
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We've always had AI systems in games, but how exactly do things work when an enemy searches for you while the computer always knows where you are in the first place? Let's talk. Subscribe for more: http://youtube.com/gameranxtv
Views: 199041 gameranx
Google DeepMind's Deep Q-learning playing Atari Breakout
 
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Google DeepMind created an artificial intelligence program using deep reinforcement learning that plays Atari games and improves itself to a superhuman level. It is capable of playing many Atari games and uses a combination of deep artificial neural networks and reinforcement learning. After presenting their initial results with the algorithm, Google almost immediately acquired the company for several hundred million dollars, hence the name Google DeepMind. Please enjoy the footage and let me know if you have any questions regarding deep learning! ______________________ Recommended for you: 1. How DeepMind's AlphaGo Defeated Lee Sedol - https://www.youtube.com/watch?v=a-ovvd_ZrmA&index=58&list=PLujxSBD-JXgnqDD1n-V30pKtp6Q886x7e 2. How DeepMind Conquered Go With Deep Learning (AlphaGo) - https://www.youtube.com/watch?v=IFmj5M5Q5jg&index=42&list=PLujxSBD-JXgnqDD1n-V30pKtp6Q886x7e 3. Google DeepMind's Deep Q-Learning & Superhuman Atari Gameplays - https://www.youtube.com/watch?v=Ih8EfvOzBOY&index=14&list=PLujxSBD-JXgnqDD1n-V30pKtp6Q886x7e Subscribe if you would like to see more content like this: http://www.youtube.com/subscription_center?add_user=keeroyz - Original DeepMind code: https://sites.google.com/a/deepmind.com/dqn/ - Ilya Kuzovkin's fork with visualization: https://github.com/kuz/DeepMind-Atari-Deep-Q-Learner - This patch fixes the visualization when reloading a pre-trained network. The window will appear after the first evaluation batch is done (typically a few minutes): http://cg.tuwien.ac.at/~zsolnai/wp/wp-content/uploads/2015/03/train_agent.patch - This configuration file will run Ilya Kuzovkin's version with less than 1GB of VRAM: http://cg.tuwien.ac.at/~zsolnai/wp/wp-content/uploads/2015/03/run_gpu - The original Nature paper on this deep learning technique is available here: http://www.nature.com/nature/journal/v518/n7540/full/nature14236.html - And some mirrors that are not behind a paywall: http://www.cs.swarthmore.edu/~meeden/cs63/s15/nature15b.pdf http://diyhpl.us/~nmz787/pdf/Human-level_control_through_deep_reinforcement_learning.pdf Web → https://cg.tuwien.ac.at/~zsolnai/ Twitter → https://twitter.com/karoly_zsolnai
Views: 812628 Two Minute Papers
An AI tried to play mario... This is the result
 
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New video using the same ai here: https://www.youtube.com/watch?v=BtarckZgXEY It's an AI that plays nes games Creator: http://www.cs.cmu.edu/~tom7/mario/ To learn how to use it go here: https://www.youtube.com/watch?v=K7v5wff5YBQ MUSIC FOR THOSE WHO CAN"T STOP ASKING: Green Hills by Sebastian Forslund Knights Templar 2 - Johannes Bornlöf SpellingPhailer - Escaping the Man This Video took 4 days to create so if you liked it leave a thumbs up! Wana see it play a different game leave a comment below!
Views: 2926095 Jordan Rathbone
Top 10 Video Games with the Best AI
 
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Someday computers may rise up and kill us all, so it’s best to suck up to the most intelligent of them right now. Join http://www.WatchMojo.com as we countdown our picks for the Top 10 Video Games with the Best AI. For this list we’re looking for examples of virtual intelligence, whether it's used as friend or foe that stand tall in the games we love. We're focusing strictly on dynamic and reactive events, where the AI can show its strengths on its own terms, so no scripted sequences here. Also, and perhaps most importantly, we’re not saying the AI in these games are perfect… Click here to subscribe: http://www.youtube.com/subscription_center?add_user=watchmojo or visit our channel page here: http://www.youtube.com/watchmojo Also, check out our interactive Suggestion Tool at http://www.WatchMojo.com/suggest :) Check us out at http://www.Twitter.com/WatchMojo, http://instagram.com/watchmojo and http://www.Facebook.com/WatchMojo. Special Thanks to our users "Vaibhav Gamit" & "Desmond Steven Richard" for suggesting this topic on our Suggestion Tool at http://www.Watchmojo.com/suggest. Check out the voting page here, http://watchmojo.com/suggest/Top+10+Video+Games+with+the+Best+AI If you want to suggest an idea for a WatchMojo video, check out our interactive Suggestion Tool at http://www.WatchMojo.com/suggest :) Want a WatchMojo cup, mug, t-shirts, pen, sticker and even a water bottle? Get them all when you order your MojoBox gift set here: http://watchmojo.com/store/ WatchMojo is a leading producer of reference online video content, covering the People, Places and Trends you care about. We update DAILY with 4-5 Top 10 lists, Origins, Biographies, Versus clips on movies, video games, music, pop culture and more!
Views: 2887483 WatchMojo.com
How to Make an Amazing Video Game Bot Easily
 
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In this video, we first go over the history of video game AI, then I introduce OpenAI's Universe, which lets you build a bot that can play thousands of different video games. It has environments for all sorts of games, from Space Invaders, to Grand Theft Auto, to Protein folding simulations. CODING CHALLENGE DUE DATE: Thursday, December 15th. (which is 2 weeks, not 1 week from now like usual) The coding challenge for this video is to make a bot that's better than this video's demo code. Post your Github link in the comments! For your README, just include a 1-3 sentence description of your strategy and instructions on how to run the code.The demo code can be found in the README of the Universe repo. : https://github.com/openai/universe And a Tensorflow based starter bot can be found here: https://github.com/openai/universe-starter-agent Some great learning resources: https://www.nervanasys.com/openai/ http://karpathy.github.io/2016/05/31/rl/ http://kvfrans.com/simple-algoritms-for-solving-cartpole/ https://kofzor.github.io/Reinforcement_Learning_101/ Join other Wizards on our Slack channel: https://wizards.herokuapp.com/ OpenAI asked me to make this video and I gladly said yes. They are awesome!! Please subscribe! And like and comment. That's what keeps me going. And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/
Views: 199769 Siraj Raval
Artificial Intelligence (for Games) in a Minute
 
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If you have absolutely no idea how you would go about making an AI for a game, here is a one-minute version of one of the most basic, core concepts. Hopefully this gets you in the right direction! I'm planning on many more videos on this topic, so this isn't all there is to it! If you have any interesting ideas, comments or questions, submit them here for my upcoming Q&A video: https://goo.gl/B1kc0X Twitter: https://twitter.com/TheHappieCat Facebook: https://www.facebook.com/TheHappieCat/
Views: 38784 TheHappieCat
Elon Musk’s A.I. Destroys Champion Gamer!
 
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Subscribe here: https://goo.gl/9FS8uF Check out the previous episode: https://www.youtube.com/watch?v=VadUK8-5OSA Become a Patreon!: https://www.patreon.com/ColdFusion_TV Hi, welcome to ColdFusion (formerly known as ColdfusTion). Experience the cutting edge of the world around us in a fun relaxed atmosphere. Sources: Dota 2 Championship: https://www.youtube.com/watch?v=92tn67YDXg0 Demis Hassabis Talk: https://www.youtube.com/watch?v=Ia3PywENxU8 https://blog.openai.com/robots-that-learn/ http://www.dailystar.co.uk/tech/gaming/637125/Paris-2024-Olympic-Games-eSports-Call-of-Duty-Overwatch-DOTA-Paris-IOC www.theverge.com/platform/amp/2017/8/11/16137388/dota-2-dendi-open-ai-elon-musk https://www.theverge.com/2017/5/16/15648158/openai-elon-musk-robotics-ai-one-shot-imitation-learning //Soundtrack// 1:00 Sinoptik Music - Don't Leave Me (Original Mix) 3:19 Uppermost - Machine Code 4:20 Grifta – Dawn 7:10 Valotihkuu - First Light 9:07 Scullious - Meant To Be » Google + | http://www.google.com/+coldfustion » Facebook | https://www.facebook.com/ColdFusionTV » My music | http://burnwater.bandcamp.com or » http://www.soundcloud.com/burnwater » https://www.patreon.com/ColdFusion_TV » Collection of music used in videos: https://www.youtube.com/watch?v=YOrJJKW31OA Producer: Dagogo Altraide » Twitter | @ColdFusion_TV
Views: 1504402 ColdFusion
An AI tried to play Galaga... This is the result
 
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This AI is called learnfun and playfun playing galaga It's an AI that plays nes games Creator's website: http://www.cs.cmu.edu/~tom7/ To learn how to use it go here: https://www.youtube.com/watch?v=K7v5wff5YBQ This Video took 4 days to create so if you liked it leave a thumbs up! Wana see it play a different game leave a comment below!
Views: 48558 Jordan Rathbone
AI learns to play snake using Genetic Algorithm and Deep learning
 
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Using a neural network and the genetic algorithm I trained an AI to play snake. Time Passing By by Audionautix is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) Artist: http://audionautix.com/
Views: 918202 Code Bullet
Artificial Intelligence in Google's Dinosaur (English Sub)
 
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Link for the code: https://github.com/ivanseidel/IAMDinosaur This is a project made for my university, using a Neural Network and Genetic Algorithm to teach Google's dinosaur from Chrome to jump cactus without dying so easily. All the implementation was using Node.js, and the game was not modified to allow interaction with the game, instead, I used pixel readings and virtual key presses from Node.js. Presentation: I normally use Apple's Keynote to make presentations and record it livelly with my screen. Music: It's my own composition and improvisation. Link: https://soundcloud.com/ivan-seidel/at-night-with-headphones
Views: 1096241 Ivan Seidel
AI Playing FPS: Full Deathmatch (HD with sound)
 
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This video is a demonstration of a computer program playing FPS Games using only raw pixel data. Refer to the following article for more details: Playing FPS Games with Deep Reinforcement Learning: https://arxiv.org/abs/1609.05521 Find the source code with pertained models at: https://github.com/glample/Arnold
Views: 235111 Devendra Chaplot
A.I. vs A.I. - Will They Fight or Cooperate?
 
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Google DeepMind pits Artificial Intelligence against Artificial Intelligence into 2 games to see if they fight or cooperate Game 1: Gathering gameplay Two A.I. players are collecting apples(green) They may zap each other with a laser beam to temporarily remove another from the game Conclusion: when apples were in plentiful supply - They(Players) didn’t zap each other But, when stocks dwindled - the amount of zapping increased And the cleverer AI - zaps more aggressively Game 2: Wolfpack gameplay (Red) wolves chase the blue dot while avoiding (grey) obstacles.G Conclusion The cleverer the AI player, the more likely it was to cooperate with other players. Because learning to work with the other player to track and herd the prey requires more computational power
Views: 1584190 Future Lab
Agar.io - a fascinating bot
 
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An agar.io bot at its best. It usually does not work that well. If you are interested in downloading the Bot: https://github.com/Apostolique/Agar.io-bot This was recorded live at http://www.twitch.tv/brunnernathan Here are some lazzy tags: agar.io, agario, bot, hack, gameplay
Views: 491602 Nathan Brunner
The computer that mastered Go
 
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Go is an ancient Chinese board game, often viewed as the game computers could never play. Now researchers from Google-owned company DeepMind have proven the naysayers wrong, creating an artificial intelligence - called AlphaGo – which has beaten a professional Go player for the first time. In this Nature Video, we go behind the scenes to learn about the game, the programme and what this means for the future of AI. Read the original research paper at https://www.nature.com/nature/journal/v529/n7587/full/nature16961.html
Views: 863776 nature video
AI's Game Playing Challenge - Computerphile
 
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AlphaGo is beating humans at Go - What's the big deal? Rob Miles explains what AI has to do to play a game. What on Earth is Recursion?: https://youtu.be/Mv9NEXX1VHc Object Oriented Programming: https://youtu.be/KyTUN6_Z9TM Mixed Reality Continuum: https://youtu.be/V4qxfFPgqdc AI Playlist: AI Playlist: https://www.youtube.com/playlist?list=PLzH6n4zXuckoewGfo3a6ShFS3zPKndPd3 Many thanks to Nottingham Hackspace for providing the location and being downright awesome Easter Egg: https://youtu.be/B8CujhUwVic http://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited by Sean Riley. Computer Science at the University of Nottingham: http://bit.ly/nottscomputer Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.com
Views: 349769 Computerphile
What Makes Good AI? | Game Maker's Toolkit
 
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When we talk about good AI, we often think about highly efficient and aggressive enemies in shooters like FEAR and Halo. But surely there's more to good artificial intelligence than this? Follow me on Twitter - https://twitter.com/britishgaming Follow Game Maker's Toolkit on Tumblr - http://gamemakerstoolkit.tumblr.com Support Game Maker's Toolkit on Patreon - https://www.patreon.com/GameMakersToolkit Sources The Illusion of Intelligence | Bungie http://halo.bungie.org/misc/gdc.2002.haloai/talk.html New Doom's deceptively simple design | Gamasutra http://www.gamasutra.com/view/news/295254/Make_me_think_make_me_move_New_Dooms_deceptively_simple_design.php The Secrets Of Enemy AI In Uncharted 2 | Gamasutra http://www.gamasutra.com/view/feature/134566/the_secrets_of_enemy_ai_in_.php The Systemic AI of Far Cry | AI & Games https://youtu.be/Q7of5BPmiUs Arkham Intelligence | AI & Games https://youtu.be/Oz04rH542l8 The Artificial Intelligence of Halo 2 | HowStuffWorks http://electronics.howstuffworks.com/halo2-ai.htm [ZIP] Designing to Promote Intentional Play | Clint Hocking http://clicknothing.typepad.com/Design/hockingc_GDC06_Intentionality.zip The Perfect Organism: The AI of Alien: Isolation | AI & Games https://www.youtube.com/watch?v=Nt1XmiDwxhY [PDF] The AI Systems of Left 4 Dead | Valve http://www.valvesoftware.com/publications/2009/ai_systems_of_l4d_mike_booth.pdf Toru Iwatani Interview | MameWorld http://www.mameworld.info/net/pacman/interview/interview1.html Uncharted 4 is not as scripted as you might think | GamesIndustry.biz http://www.gamesindustry.biz/articles/2016-11-04-uncharted-4-not-as-scripted-as-you-might-think Find Out More [PDF] Three States and a Plan | MIT Media Lab http://alumni.media.mit.edu/~jorkin/gdc2006_orkin_jeff_fear.pdf Managing Complexity in Halo 2 | GDC http://www.gdcvault.com/play/1020270/Managing-Complexity-in-the-Halo Modeling AI Perception and Awareness in Splinter Cell: Blacklist | GDC http://www.gdcvault.com/play/1020436/Modeling-AI-Perception-and-Awareness Understanding Pac-Man Ghost Behavior | GameInternals http://gameinternals.com/post/2072558330/understanding-pac-man-ghost-behavior Drivatar in Forza Motorsport | Microsoft Research https://web.archive.org/web/20160302162556/http://research.microsoft.com:80/en-us/projects/drivatar/forza.aspx MGS V Enemies Response System Guide | SegmentNext http://segmentnext.com/2015/09/05/mgsv-phantom-pain-enemies-response-system-defense-vehicles-guide/ How Prompto's AI-drive selfie system in Final Fantasy XV was built | Gamasutra http://www.gamasutra.com/view/news/292883/How_Promptos_AIdriven_selfie_system_in_Final_Fantasy_XV_was_built.php Further Reading / Viewing: Laments on Half-Life 2's AI and balance | Joe Wintergreen https://www.youtube.com/watch?v=OsDM7GKb0xU Game Development Myths: Players Want Smart Artificial Intelligence | Ask a Game Dev http://askagamedev.tumblr.com/post/76972636953/game-development-myths-players-want-smart Games shown in this episode (in order of appearance): F.E.A.R. (Monolith Productions, 2005) Halo 2 (Bungie, 2004) Half-Life (Valve Corporation, 1998) Halo: Combat Evolved (Bungie, 2001) DOOM (id Software, 2016) Alien: Isolation (The Creative Assembly, 2014) Batman: Arkham Asylum (Rocksteady Studios, 2009) Waking Mars (Tiger Style, 2012) Final Fantasy XV (Square Enix, 2016) The Legend of Zelda: Breath of the Wild (Nintendo, 2017) Splinter Cell: Blacklist (Ubisoft Toronto, 2013) Metal Gear Solid V: The Phantom Pain (Kojima Productions, 2015) The Elder Scrolls V: Skyrim (Bethesda Game Studios, 2011) Uncharted 2: Among Thieves (Naughty Dog, 2009) Far Cry 4 (Ubisoft Montreal, 2014) The Swindle (Size Five Games, 2015) Mark of the Ninja (Klei Entertainment, 2012) Pac-Man (Namco, 1980) Civilization V (Firaxis Games, 2010) Far Cry 2 (Ubisoft Montreal, 2008) Vanquish (PlatinumGames, 2010) Hitman (iO Interactive, 2016) Spelunky (Derek Yu, 2012) BioShock (Irrational Games, 2007) Prey (Arkane Studios, 2017) Middle-earth: Shadow of Mordor (Monolith Productions, 2014) Killer Instinct (Double Helix Games, 2013) Forza Motorsport 6 (Turn 10 Studios, 2015) Left 4 Dead (Turtle Rock / Valve, 2008) Rain World (Videocult, 2017) S.T.A.L.K.E.R.: Shadow of Chernobyl (GSC Game World, 2007) BioShock Infinite (Irrational Games, 2013) The Last Guardian (genDesign, 2016) Event[0] (Ocelot Society, 2016) Half-Life 2 (Valve Corporation, 2004) The Last of Us (Naughty Dog, 2013) Uncharted 4: A Thief's End (Naughty Dog, 2016) Music used in this episode: 00:00 - Into the Red (Waking Mars) 02:25 - Title Screen (Please, Don't Touch Anything) 03:20 - Screen OFF (Please, Don't Touch Anything) 05:35 - Black Hole (Please, Don't Touch Anything) 06:46 - Reverse (Please, Don't Touch Anything) 07:54 - Language (Please, Don't Touch Anything) 10:32 - Judegment (Please, Don't Touch Anything) 11:44 - Ruins (Please, Don't Touch Anything) 13:31 - Into the Red (Waking Mars)
Views: 654806 Mark Brown
The AI Gaming Revolution
 
10:31
Artificial intelligences that play abstract, strategic board games have come a long way, but how do their "brains" work? Hosted by: Hank Green ---------- Support SciShow by becoming a patron on Patreon: https://www.patreon.com/scishow ---------- Dooblydoo thanks go to the following Patreon supporters -- we couldn't make SciShow without them! Shout out to Kevin Bealer, Justin Lentz, Mark Terrio-Cameron, Patrick Merrithew, Accalia Elementia, Fatima Iqbal, Benny, Kyle Anderson, Mike Frayn, Tim Curwick, Will and Sonja Marple, Philippe von Bergen, Chris Peters, Kathy Philip, Patrick D. Ashmore, Thomas J., charles george, and Bader AlGhamdi. ---------- Like SciShow? Want to help support us, and also get things to put on your walls, cover your torso and hold your liquids? Check out our awesome products over at DFTBA Records: http://dftba.com/scishow ---------- Looking for SciShow elsewhere on the internet? Facebook: http://www.facebook.com/scishow Twitter: http://www.twitter.com/scishow Tumblr: http://scishow.tumblr.com Instagram: http://instagram.com/thescishow ---------- Sources: http://www.aaai.org/ojs/index.php/aimagazine/article/view/1848/1746 http://www.sciencedirect.com/science/article/pii/S0004370201001291 http://www.usgo.org/brief-history-go http://www.theatlantic.com/technology/archive/2016/03/the-invisible-opponent/475611/ http://journals.lww.com/neurosurgery/Fulltext/2016/06000/Ready_or_Not,_Here_We_Go___Decision_Making.2.aspx https://www-03.ibm.com/ibm/history/exhibits/mainframe/mainframe_PP704.html http://www.welivesecurity.com/2010/12/29/what-are-heuristics/ http://www.cs.bham.ac.uk/~jxb/IAI/w7.pdf http://www.readcube.com/articles/10.1038/nature14541?r3_referer=nature Images: https://commons.wikimedia.org/wiki/File:Chatbot.jpg https://commons.wikimedia.org/wiki/File:IBM_Electronic_Data_Processing_Machine_-_GPN-2000-001881.jpg https://commons.wikimedia.org/wiki/File:IBM_729_tape_drives.agr.jpg https://commons.wikimedia.org/wiki/File:Opening_chess_position_from_black_side.jpg https://commons.wikimedia.org/wiki/File:Kasparov-26.jpg https://commons.wikimedia.org/wiki/File:Deep_Blue.jpg https://commons.wikimedia.org/wiki/File:Go_game.jpg https://commons.wikimedia.org/wiki/File:Blank_Go_board.png https://commons.wikimedia.org/wiki/File:Chess_Board.svg https://commons.wikimedia.org/wiki/File:Antlia_Dwarf_PGC_29194_Hubble_WikiSky.jpg https://commons.wikimedia.org/wiki/File:Go_game_(2094497615).jpg https://commons.wikimedia.org/wiki/File:FloorGoban.JPG https://commons.wikimedia.org/wiki/File:Lee_Se-dol_2012.jpg
Views: 578085 SciShow
DENDI 1v1 vs BOT AI - TI7 DOTA 2
 
22:35
TI7 DOTA 2 DENDI 1v1 vs OpenAI https://www.twitch.tv/dota2ti Subscribe► http://bit.ly/noobfromua
Views: 1860853 NoobFromUA
AI Evolved - artificial intelligence for games
 
02:39
AI-Evolved is my first working version of a new system to automatically create artificial intelligence. It uses an evolutionary algorithm to evolve a neural networks that can control any kind of character. I will use this technology in my game Testank to create opponents that behave differently in every game. While the players play the game they train the AI and thus keep producing newer, stronger AI! A ranking system will rank players and AI to make sure everyone gets an interesting opponent.
Views: 9029 because why not?
Science of Video Games: Artificial Intelligence
 
05:20
Black Light Network Science Channel
AI learns to play pool
 
10:48
Using the genetic algorithm I train an AI to play pool. Source code is up https://github.com/Code-Bullet/Pool_AI
Views: 390089 Code Bullet
NES AI Learnfun & Playfun, ep. 2: Zelda, Punch-Out, stocks, etc.
 
22:34
Six more games played by Learnfun & Playfun; some good, some not so good. This is a pair of programs I wrote that learn to play Nintendo games using an amusingly simple technique. For the technical details, downloads, and more videos, see: http://tom7.org/mario/ Continue with episode 3: http://www.youtube.com/watch?v=Q-WgQcnessA
Views: 353027 suckerpinch
Future of Video games / Artificial Intelligence
 
22:58
Future of Video games / Artificial Intelligence
Views: 218 PLUR
Build a Game AI - Machine Learning for Hackers #3
 
05:00
This video will get you up and running with your first game AI in just 10 lines of Python. The AI can theoretically learn to master any game you train it on, but has only been tested on 2D Atari games so far. The code for this video is here: https://github.com/llSourcell/Game-AI I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ Tensorflow install instructions here: https://www.tensorflow.org/versions/r0.8/get_started/os_setup.html#pip-installation Gym install instructions here: https://gym.openai.com/docs Great course on the brain (I really love this course): https://www.mcb80x.org/ Original Deep Q Learner Paper: https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf Lots of info on convolutional neural networks: http://cs231n.github.io/convolutional-networks/ Lots of info on reinforcement learning: http://www.nervanasys.com/demystifying-deep-reinforcement-learning/ I'm a fan of www.fomoro.com for cloud GPU computing since they are the only free-to-try cloud GPU provider I could find. Let me know if you find another! I love you guys! Thanks for watching my videos, I do it for you. I left my awesome job at Twilio and I'm doing this full time now. I recently created a Patreon page. If you like my videos, feel free to help support my effort here!: https://www.patreon.com/user?ty=h&u=3191693 Much more to come so please subscribe, like, and comment. Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/
Views: 84941 Siraj Raval
Using Artificial Intelligence to Play the Atari Centipede Game
 
04:48
A simple AI agent playing the centipede game for the Atari 2600 gaming system. This video was produced summarizing my class project in the Artificial Intelligence Course taught at the University of Wyoming by Professor Jeff Clune. For more see http://JeffClune.com.
Views: 18857 EvolvingRobots
How AI beat the best poker players in the world | Engadget R+D
 
11:14
"That was anticlimactic," Jason Les said with a smirk, getting up from his seat. Unlike nearly everyone else in Pittsburgh's Rivers Casino, Les had just played his last few hands against an artificially intelligent opponent on a computer screen. After his fellow players -- Daniel McAulay next to him and Jimmy Chou and Dong Kim in an office upstairs -- eventually did the same, they started to commiserate. The consensus: That AI was one hell of a player. Full story: https://www.engadget.com/2017/02/10/libratus-ai-poker-winner/ Subscribe to Engadget on YouTube: http://engt.co/subscribe Get More Engadget: • Like us on Facebook: http://www.facebook.com/engadget • Follow us on Twitter: http://www.twitter.com/engadget • Follow us on Instagram: http://www.instagram.com/engadget • Add us on Snapchat: https://www.snapchat.com/add/engadgetHQ • Read more: http://www.engadget.com Engadget is the definitive guide to this connected life.
Views: 173180 Engadget
NES AI Learnfun & Playfun, ep. 3: Gradius, pinball, ice hockey, mario updates, etc.
 
25:35
Learnfun and Playfun are software I wrote to automate the playing of Nintendo games. In this series I show the AI playing various games (some good, some bad) with color commentary. Games in this episode: Super Mario Bros., Color A Dinosaur, Cliffhanger, Pro Wrestling, Pinball, Mega Man 2, Gradius, Double Dare, Arkanoid. Episode 1: http://www.youtube.com/watch?v=xOCurBYI_gY Episode 2: http://www.youtube.com/watch?v=YGJHR9Ovszs Website with code and paper: http://tom7.org/mario/ Tom 7's Invincible Web Site: http://tom7.org/ My 48h Ice Hockey-inspired game "Age of Umpires": http://radar.spacebar.org/f/a/weblog/comment/1/1089 Time I ran a 10k in hockey skates: http://radar.spacebar.org/f/a/weblog/comment/1/1100
Views: 368829 suckerpinch
Artificial Intelligence in Video Games
 
01:06:46
Video game developer and Mad Doc Software founder Ian Davis lectures on interactive multimedia, game engineering, and development of characters in video games. Hosted by Metropolitan College Department of Computer Science on November 28, 2007.
Views: 12720 Boston University
Michael Bowling – "Artificial Intelligence Goes All-In: Computers Playing Poker"
 
01:07:34
Artificial intelligence has seen several breakthroughs in recent years, with games such as checkers, chess, and go often serving as milestones of progress. Poker is another game entirely, with players having their own asymmetric information about what's happening in the game. In this talk, University of Alberta researcher Michael Bowling (also a principal investigator at the Alberta Machine Intelligence Institute) describes a decade long research program to build AI that can cope with the hallmarks of poker — deception, bluffing, and manipulating what other players know. This research has culminated in two landmark results: Cepheus playing a perfect game of limit poker, and most recently, DeepStack (in a collaboration with Czech researchers) beating poker pros at the game of no-limit poker. These two computer programs take very different approaches, and shed light on what is required to play a game at an expert-level and what is required to play it perfectly. Learn more about DeepStack: Website: http://www.deepstack.ai Twitter: http://www.twitter.com/deepstackai Twitch: http://www.twitch.tv/deepstackai
Views: 2829 DeepStackAI
Game Playing
 
44:07
Artificial Intelligence by Prof. Deepak Khemani,Department of Computer Science and Engineering,IIT Madras.For more details on NPTEL visit http://nptel.ac.in
Views: 6759 nptelhrd
Neural Network AI Leela Zero Against IM lovlas' French Defense!
 
14:07
Check out all the games from this match https://lichess.org/study/kLXrkT4M Follow Leela here https://lichess.org/@/LeelaChess Follov IM lovlas here https://lichess.org/@/lovlas Engine used in the matches: Leela Zero ID 125, note that Leela was running on a GPU and calculated about 25.000-100.000 nodes per move, which is a lot more than play.lczero.org/ does. Useful links: lczero.org, the main hub for everything regarding Leela Chess. Lots of things to explore! play.lczero.org, play against Leela yourself! discord.gg/pKujYxD, follow the chat or contribute to the project on Discord if you like. github.com/glinscott/leela-chess/wiki, a small wiki with information on how to use Leela, how to contribute and much more github.com/glinscott/leela-chess/wiki/FAQ#current-strength-of-leela-chess-zero, different user maintained rating charts to get an impression on Leela's strength and progress github.com/glinscott/leela-chess/wiki/FAQ#can-i-watch-leela-chess-zero-play-somewhere, people streaming test matches of Leela versus a pool of other engines Leela Zero vs Lasse Østebø Løvik One of the games from their match Queen's Gambit Declined (D35) 1. e4 e6 2. d4 d5 3. Nc3 Bb4 4. e5 Ne7 5. a3 Bxc3+ 6. bxc3 c5 7. Bd3 Nbc6 8. Qg4 Qa5 9. Bd2 O-O 10. Nf3 f5 11. Qf4 b6 12. O-O Ba6 13. dxc5 bxc5 14. Rfe1 Rab8 15. Qh4 h6 16. Bxh6 gxh6 17. Qxh6 Rf7 18. Bxa6 Qxa6 19. Ng5 Nd8 20. Nxf7 Nxf7 21. Qf6 Kf8 22. Rab1 Rb6 23. h4 Ng8 24. Qg6 Ne7 25. Qf6 Ng8 26. Qg6 Ne7 27. Qg3 Qc4 28. Rxb6 axb6 29. Rb1 b5 30. h5 d4 31. cxd4 cxd4 32. Qb3 Nxe5 33. h6 Kf7 34. Qxb5 Qxb5 35. Rxb5 Nc4 36. a4 Nc6 37. Rc5 N4a5 38. g4 Kg6 39. g5 e5 40. Rd5 e4 41. Rd6+ Kh7 42. Rd7+ Kg8 43. g6 f4 44. h7+ Kh8 45. Rf7 ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- If you realllly enjoy my content, you're welcome to support me and my channel with a small donation via PayPal, Bitcoin, Litecoin or Nano. Link to PayPal donation https://www.paypal.me/agadmator Bitcoin address 12VEbMQPyLzBoZzw9yuNofph4C9Ansc4iZ Litecoin address LbSuZuBffDCNmr5CSZbY7W2zM83w4ZvnC7 Nano address xrb_383y7ofu5wsyfr9o8rh93aqaq8aixpdcbaud5iubydukz5moiadsirmuzgoq Check out ALL my videos here https://www.youtube.com/watch?v=fYgd5ZLdHz8&list=PLDnx7w_xuguFTxcfiM11bB1JchtHclEJg Steemit: https://steemit.com/@agadmator/ Facebook: https://www.facebook.com/agadmatoryoutube Twitter: https://twitter.com/agadmator Instagram: https://www.instagram.com/agadmator/ Lichess: https://lichess.org/@/agadmator Chess.com: agadmator Join me on dock.io https://dock.io?r=antonioradic:aaabam3o League of Legends: agadmator (EUNE, my friend is using my EUWE account for a couple of years now) Blizzard: agadmator #2992 Check out my Hearthstone channel here https://www.youtube.com/channel/UCDKefsd8PMI0FXHwPi5yscg Check out the SUBSCRIBERS VIDEO https://www.youtube.com/watch?v=p-xa0SkpIiA Send your photos and videos here: [email protected] Send your own games here: [email protected]
Introduction to AI for Video Games
 
09:50
Welcome to my new reinforcement learning course! For the next 10 weeks we're going to go from the basics to the state of the art in this popular subfield of machine learning using video game environments as our testbed. RL is a huge reason DeepMind and OpenAI have been so successful thus far in creating world changing AI bots. Make sure to subscribe so you'll get updated with every new video I release. And don't worry if you don't understand policy iteration or value iteration just yet, I merely wanted to introduce these phrases in this video, next week i'm going to really dive into what these 2 methods look like programmatically. Code for this video (with coding challenge): https://github.com/llSourcell/AI_for_video_games_demo Syllabus for this course: https://github.com/llSourcell/AI_for_Video_Games_Syllabus Please Subscribe! And like. And comment. That's what keeps me going. Want more inspiration & education? Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology More learning resources: https://medium.com/emergent-future/simple-reinforcement-learning-with-tensorflow-part-0-q-learning-with-tables-and-neural-networks-d195264329d0 http://icml.cc/2016/tutorials/deep_rl_tutorial.pdf https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow https://www.analyticsvidhya.com/blog/2017/01/introduction-to-reinforcement-learning-implementation/ https://web.mst.edu/~gosavia/tutorial.pdf http://karpathy.github.io/2016/05/31/rl/ http://www.wildml.com/2016/10/learning-reinforcement-learning/ https://www.quora.com/What-are-some-good-tutorials-on-reinforcement-learning Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/
Views: 34106 Siraj Raval
An Intro to Video Game AI for Beginners and Young Programmers
 
07:22
This video was developed to give an introduction to some AI techniques that can be used in games. It gives an overview of ad-hoc rules, state machines, behavior trees, planners, and neural networks. This video was designed for young programmers and beginners. I want to give a special thanks to IADave from intrinsicalgorithm.com for his good articles on AI development. I'm currently using these techniques to build a AI framework for the game engine that I'm currently developing and I hope in the future to release much if not all of the AI source code to the public. You can check out my website www.squaredprogramming.com More AI links http://intrinsicalgorithm.com/IAonAI/2012/11/ai-architectures-a-culinary-guide-gdmag-article/ http://www.willamette.edu/~gorr/classes/cs449/intro.html
Views: 42824 Squared Programming
Kingscrusher takes on AlphaZeros little sister- Leela Zero (ID 146):Human vs Artificial intelligence
 
24:19
♚Support the channel by donating via Paypal: https://goo.gl/7HJcDq ♚Play at: https://www.chessworld.net/chessclubs/asplogin.asp?from=1053 Game quality tags: amazing, awesome, astonishing, brilliant, classic, crushing, dynamic, elegant, exceptional, excellent, exciting, fabulous, famous, fantastic, finest, flashy, greatest, important, impressive, incredible, instructive, incredible, interesting, magnificent, marvellous, memorable, mind-blowing, must see, outrageous, remarkable, scintillating, sparkling, stunning, superb, thrilling, top, unbelievable, wonderful Info about Alphazero: https://en.wikipedia.org/wiki/AlphaZero AlphaZero is a computer program developed by the Alphabet-owned AI research company DeepMind, which uses an approach similar to AlphaGo Zero's to master not just Go, but also chess and shogi. On December 5, 2017 the DeepMind team released a preprint introducing AlphaZero, which, within 24 hours, achieved a superhuman level of play in these three games by defeating world-champion programs, Stockfish, elmo, and the 3-day version of AlphaGo Zero, in each case making use of custom tensor processing units (TPUs) that the Google programs were optimized to make use of.[1] AlphaZero was trained solely via "self-play" using 5,000 first-generation TPUs to generate the games and 64 second-generation TPUs to train the neural networks, all in parallel, with no access to opening books or endgame tables. After just four hours of training, DeepMind estimated AlphaZero was playing at a higher Elo rating than Stockfish; after 9 hours of training, the algorithm decisively defeated Stockfish 8 in a time-controlled 100-game tournament (28 wins, 0 losses, and 72 draws).[1][2][3] The trained algorithm played on a single machine with four TPUs. ... Relation to AlphaGo Zero Further information: AlphaGo Zero AlphaZero (AZ) is a more generalized variant of the AlphaGo Zero (AGZ) algorithm, and is able to play shogi and chess as well as Go. Differences between AZ and AGZ include:[1] AZ has hard-coded rules for setting search hyperparameters. The neural network is now updated continually. Go (unlike Chess) is symmetric under certain reflections and rotations; AlphaGo Zero was programmed to take advantage of these symmetries. AlphaZero is not. Chess can end in a draw unlike Go; therefore AlphaZero can take into account the possibility of a drawn game. AlphaZero vs. Stockfish and elmo Further information: Stockfish (chess) and Elmo (shogi engine) Comparing Monte Carlo tree search searches, AlphaZero searches just 80,000 positions per second in chess and 40,000 in shogi, compared to 70 million for Stockfish and 35 million for elmo. AlphaZero compensates for the lower number of evaluations by using its deep neural network to focus much more selectively on the most promising variation.[1] Training AlphaZero was trained solely via self-play, using 5,000 first-generation TPUs to generate the games and 64 second-generation TPUs to train the neural networks. In parallel, the in-training AlphaZero was periodically matched against its benchmark (Stockfish, elmo, or AlphaGo Zero) in brief one-second-per-move games to determine how well the training was progressing. DeepMind judged that AlphaZero's performance exceeded the benchmark around four hours of training for Stockfish, two hours for elmo, and eight hours for AlphaGo Zero.[1] Results Outcome Chess In AlphaZero's chess tournament against Stockfish 8 (2016 TCEC world champion), each program was given one minute's worth of thinking time per move. Stockfish was allocated 64 threads and a hash size of 1 GB,[1] a setting that Stockfish's Tord Romstad later criticized as suboptimal.[4][note 1] AlphaZero was trained on chess for a total of nine hours before the tournament. During the tournament, AlphaZero ran on a single machine with four application-specific TPUs. In 100 games from the normal start position, AlphaZero won 25 games as white, won 3 as black, and drew the remaining 72.[6] In a series of twelve 100-game matches (of unspecified time or resource constraints) against Stockfish starting from the 12 most popular human openings, AlphaZero won 290, drew 886 and lost 24.[1] ... ►Kingscrusher chess resources: http://www.chessworld.net/chessclubs/learn_coaching_chessable.asp ►Kingscrusher's "Crushing the King" video course with GM Igor Smirnov: http://chess-teacher.com/affiliates/idevaffiliate.php?id=1933&url=2396 ►FREE online turn-style chess at http://www.chessworld.net/chessclubs/asplogin.asp?from=1053 http://goo.gl/7HJcDq ►Kingscrusher resources: http://www.chessworld.net/chessclubs/learn_coaching_chessable.asp ►Playlists: http://goo.gl/FxpqEH ►Follow me at Google+ : http://www.google.com/+kingscrusher ►Play and follow broadcasts at Chess24: https://chess24.com/premium?ref=kingscrusher
Views: 3299 kingscrusher
The first artificial intelligence I ever made
 
17:05
The first 2 minutes took longer to make than the last 15, but they're also much more watchable. The last 15 are so bad it hurts Get to the Top Although There Is No Top: http://htwins.net/gtttatint/awesome_game_dnc.html That game's AI: http://htwins.net/gtttatint/agauto.html GTTTATINT Different Platforms: http://htwins.net/gtttatint/ag-difplat.html That game's AI (my first true AI): http://htwins.net/gtttatint/ag-difplatauto.html Combo, with "proportional jumping": http://htwins.net/gtttatint/ag-combo.html My patreon: https://www.patreon.com/carykh My twitter: https://twitter.com/realCarykh Music: Prefekt - Eclipse [JompaMusic Release] https://www.youtube.com/watch?v=4Aw3WzUNDKQ JPB - High [NCS Release] https://youtu.be/Tv6WImqSuxA SoundCloud https://soundcloud.com/anis-jay Facebook https://www.facebook.com/jayprodbeatz Twitter https://twitter.com/gtaanis Instagram http://instagram.com/gtaanis Talking With You by Artificial.Music https://soundcloud.com/artificial-music Creative Commons — Attribution 3.0 Unported— CC BY 3.0 https://creativecommons.org/licenses/by/3.0/ Music provided by Audio Library https://youtu.be/NAgcAg0pW6w
Views: 304509 carykh
Computer program that learns to play classic NES games
 
16:18
This is an explanation and demo of software I wrote that learns how to play a Nintendo Entertainment System game and then automatically plays it. This is real. Research paper published in SIGBOVIK 2013: "The first level of Super Mario Bros. is easy with lexicographic ordering a and time travel ...after that it gets a little tricky." http://tom7.org/mario/mario.pdf Follow-up video with more games: http://www.youtube.com/watch?v=YGJHR9Ovszs And episode 3: http://www.youtube.com/watch?v=Q-WgQcnessA For more info and source code, see: http://tom7.org/mario/
Views: 1844559 suckerpinch
Game AI - Funtelligence - Extra Credits
 
08:06
Games often advertise their complex AI, but in truth, offering a wide variety of simple NPC behaviors unique to each enemy often feels more engaging AND challenging to the player than putting them through multiple hours of facing a bunch of NPCs operating on the same AI behavior tree. Subscribe for more episodes every Wednesday! http://bit.ly/SubToEC ___________ Get your Extra Credits gear at the store! http://bit.ly/ExtraStore Play games with us on Extra Play! http://bit.ly/WatchEXP Watch more episodes from this season of Extra Credits! https://www.youtube.com/watch?v=MzZ2IphdFGw&index=1&list=PLhyKYa0YJ_5Ab3f-7_XnNdtnplGxaF81D Thanks for participating in this week's discussion! We want you to be aware of our community posting guidelines so that we can have high-quality conversations: https://goo.gl/HkzwQh Contribute community subtitles to Extra Credits: http://www.youtube.com/timedtext_cs_panel?c=UCCODtTcd5M1JavPCOr_Uydg&tab=2 Talk to us on Twitter (@ExtraCreditz): http://bit.ly/ECTweet Follow us on Facebook: http://bit.ly/ECFBPage Get our list of recommended games on Steam: http://bit.ly/ECCurator ___________ Would you like James to speak at your school or organization? For info, contact us at: [email protected] ___________ ♪ Intro Music: "Penguin Cap" by CarboHydroM http://bit.ly/1eIHTDS ♪ Outro Music: “Errorize” by timaeus222 https://www.youtube.com/watch?v=94eK7kKhJZ8
Views: 385471 Extra Credits
Minimax Algorithm (with alternate moves)
 
10:35
Explanation of the concepts and code of Minimax algorithm with alternate moves. Read more here: http://www.unacademy.in/2012/01/minimax-algorithm-in-game-playing.html and visit us on http://facebook.com/unacademy Source: Artificial Intelligent by Mr. Russell and Mr. Peter Norvig
Views: 98628 Unacademy
Elon Musk's 'Dota 2' Experiment is Disrupting Esports in a Big Way - No Playing Field
 
07:39
Elon Musk's artificial intelligence research company, OpenAI, is developing a self-learning bot for one of the most complex esports titles: 'Dota 2.' It has already become the ultimate challenge for players, but for top esports pros, it is also a major opportunity. 'No Playing Field' is a series by Mashable following the behind-the-scenes of the ever-growing world of esports. From huge investment opportunities, to secret team tactics, to obsessed fans, the series gives deep insights on how esports came to be, its current challenges and where it's heading next. Produced by Matt Kline Watch more esports videos from Mashable: http://on.mash.to/NoPlayingField MASHABLE ON YOUTUBE Subscribe to Mashable: http://on.mash.to/subscribe Best of playlist: https://on.mash.to/BestOf MASHABLE ACROSS THE WEB Mashable.com: http://on.mash.to/1hCcRpl Facebook: http://on.mash.to/2lyOwmZ Twitter: http://on.mash.to/1Udp1kz Instagram: http://on.mash.to/1U6D40z Mashable is for superfans. We're not for the casually curious. Obsess with us.
Views: 3390588 Mashable
Google’s AI Beats World’s Best ‘Go’ Player
 
01:28
The “AlphaGo” program defeated humankind in one of the most complicated board games in history. Subscribe to Vocativ: http://www.youtube.com/subscription_center?add_user=vocativvideo Find us everywhere else: Facebook: https://www.facebook.com/Vocativ Twitter: https://twitter.com/vocativ Instagram: https://www.instagram.com/vocativ/ Snapchat: http://www.snapchat.com/add/vocativ Website: http://www.vocativ.com Vocativ explores the nexus of media and technology, where science meets storytelling. We use proprietary technology to examine the uncharted space of the Deep Web, covering topics that are vital to our changing world. Follow us for more!
Views: 14755 Vocativ
Will Artificial Intelligence Take Over The World?
 
05:52
In Talos Principle, we can assess the pros and cons of artificial intelligence. Watch More: How Could The Mortal Kombat Fatalities Work In Real Life? ►►►► https://www.youtube.com/watch?v=SIxRYhPNk8g Follow Us! https://twitter.com/LifeNoggin https://facebook.com/LifeNoggin Play Noggin is a weekly series exploring the scientific concepts behind your favorite video games. Play Noggin Team: Host: https://twitter.com/jhug00 Executive Producer: https://twitter.com/IanDokie Creative Director: https://twitter.com/PatGraziosi Director of Marketing: https://twitter.com/JaredOban Written by: http://twitter.com/brandenjohnson Edited by: http://twitter.com/dlnwgnr Sources: https://en.wikipedia.org/wiki/The_Talos_Principle https://en.wikipedia.org/wiki/Artificial_intelligence http://www-formal.stanford.edu/jmc/whatisai/node1.html https://www.technologyreview.com/s/603062/ai-winter-isnt-coming/ https://www.wired.com/2015/01/ai-arrived-really-worries-worlds-brightest-minds/ http://www.techrepublic.com/article/the-6-most-exciting-ai-advances-of-2016/ http://science.howstuffworks.com/robot6.htm https://www.wired.com/insights/2014/09/artificial-intelligence-algorithms-2/ https://www.wired.com/2015/01/ai-arrived-really-worries-worlds-brightest-minds/
Views: 85111 Play Noggin
Google's DeepMind AI Just Taught Itself To Walk
 
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Google's artificial intelligence company, DeepMind, has developed an AI that has managed to learn how to walk, run, jump, and climb without any prior guidance. The result is as impressive as it is goofy. Read more: http://www.businessinsider.com/sai FACEBOOK: https://www.facebook.com/techinsider TWITTER: https://twitter.com/techinsider INSTAGRAM: https://www.instagram.com/businessinsider/ TUMBLR: http://businessinsider.tumblr.com/
Views: 5452542 Tech Insider
AI playing Super Mario World with Deep Reinforcement Learning
 
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Playing Mario with Deep Reinforcement Learning. Left: Game; right (top): input into the model and area focused by the Spatial Transformer; right (bottom): direct reward and Q-value of the best action. Code at https://github.com/aleju/mario-ai .
Views: 28908 Alexander Jung

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