Search results “Ai algorithms for games”
AI learns to play snake using Genetic Algorithm and Deep learning
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: 1924109 Code Bullet
MarI/O - Machine Learning for Video Games
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: 7360525 SethBling
How "Smart" AI (Basically) Works in Games (Goal Oriented Action Planning)
In this video, we look at how simple AI systems work, and how we can create "smarter" AI that create and execute plans. We'll learn how to code a modified form of the GOAP AI in a future programming tutorial. This month's dev challenge theme is artificial intelligence! Head over here for more information: https://www.reddit.com/r/TheHappieMakers/comments/4sxqg5/game_dev_challenge_artificial_intelligence/ My second channel! https://www.youtube.com/c/TheHappierCat2 Ask questions in the subreddit: https://www.reddit.com/r/TheHappieMakers/ Find me on Twitter: https://twitter.com/TheHappieCat Or Facebook: https://www.facebook.com/TheHappieCat/ And sometimes Twitch: twitch.tv/happiecat Resources from this video: Jeff Erickson's Algorithms Notes: http://jeffe.cs.illinois.edu/teaching/algorithms/ Jeff Orkin's GDC Paper on F.E.A.R. and GOAP: http://alumni.media.mit.edu/~jorkin/gdc2006_orkin_jeff_fear.pdf Food example adapted from this repository's implementation of GOAP: https://github.com/sploreg/goap Behavior tree diagram from: http://www.gamasutra.com/blogs/ChrisSimpson/20140717/221339/Behavior_trees_for_AI_How_they_work.php Gameplay clips used from Youtube users: ElectroEthan, Dante XII, NintenU, World of Longplays, SaikyoMog, Seanleeuw I do not own resources used in this video. They are used under fair use. Stay happie :)
Views: 279633 TheHappieCat
AI Learns to play the Worlds Hardest Game
If it wins does that make it the worlds best AI? NEXT LEVEL: https://www.youtube.com/watch?v=kVwkLb8zxq0&t=1s Run the AI in your browser https://code-bullet.github.io/WorldsHardestGameAI/WHG/ Check out my tutorial on genetic algorithm https://www.youtube.com/watch?v=BOZfhUcNiqk&t=2s Follow me on twitter https://twitter.com/code_bullet Become a patreon to support my future content https://www.patreon.com/CodeBullet Check out my Discord server https://discord.gg/UZDMYx5
Views: 3421306 Code Bullet
AI Evolved - artificial intelligence for games
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: 10439 because why not?
Machine Learning for Flappy Bird using Neural Network & Genetic Algorithm
Read the complete tutorial about how to implement a machine learning algorithm for the Flappy Bird video game here: http://www.askforgametask.com/tutorial/machine-learning-algorithm-flappy-bird This video shows a creation of an artificial intelligence controller for the Flappy Bird game using neural networks and a genetic algorithm. The program is written in HTML5 using Phaser framework (http://phaser.io/). There is also used Synaptic Neural Network library (https://synaptic.juancazala.com/) to implement entire artificial neural network instead of making a new one from the scratch. Download source code here: https://github.com/ssusnic/Machine-Learning-Flappy-Bird ----------------------------------------------------------------- According to Arthur Samuel, machine learning is the science of getting computers to act without being explicitly programmed. It is a fine tuning process of learning that incrementally improves an initial random system. The form of machine learning implemented in this program uses a genetic algorithm to train artificial neural networks. The birds are learning how to flap optimally in order to fly safely through barriers as long as possible. The main concept is based on these 3 steps: 1. creating the initial population of 10 birds randomly 2. learning as the game is being played 3. applying natural evolution to form the next improved population ----------------------------------------------------------------- To play the game, each bird has its own neural network consisted of the next 3 layers: 1. an input layer with 2 neurons representing what a bird sees: - horizontal distance to the closest gap - height difference to the closest gap 2. a hidden layer with 6 neurons 3. an output layer with 1 neuron to perform flap if its value is greater than 0.5 ----------------------------------------------------------------- To measure the quality of birds and select the best ones, for each bird is calculated its fitness function in this way: - reward a bird by its total traveled distance - penalize a bird by its current distance to the closest gap When the entire population is dead, the fittest four birds are selected to breed a new population by using genetic algorithm operators: selection, crossover and mutation. ----------------------------------------------------------------- Visit us: http://www.askforgametask.com Like us: https://www.facebook.com/askforgametask Follow us: https://twitter.com/ssusnic Music: "Bedtime Tune" by Jay Man http://www.ourmusicbox.com
Views: 580250 Srdjan Susnic
[Game Algorithms] 08 - Pathing AI Basics
Welcome to a new series covering Game Algorithms. This series has similarities to the Video Game Mathematics Series, but this covers Game Algorithms. Welcome to a new tutorial for the Game Algorithms series. In this tutorial, I will go over a concept that will be used to work on Pathing AI. This type of pathing AI is not path-finding where we need to go from point A to point B in the quickest way possible. Instead, this AI is used for a game object following a set of points known as a path. Examples of where this might be used is having a security guard patrol (looping path) between three or four entrances of a base.
Views: 217 Nathan Biefeld
6. Search: Games, Minimax, and Alpha-Beta
MIT 6.034 Artificial Intelligence, Fall 2010 View the complete course: http://ocw.mit.edu/6-034F10 Instructor: Patrick Winston In this lecture, we consider strategies for adversarial games such as chess. We discuss the minimax algorithm, and how alpha-beta pruning improves its efficiency. We then examine progressive deepening, which ensures that some answer is always available. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 225986 MIT OpenCourseWare
Build a Game AI - Machine Learning for Hackers #3
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/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 97989 Siraj Raval
I created a PERFECT minesweeper AI
Using the power of MATH and Probability, I was able to create what I believe to be a perfect minesweeper player Become a patreon to support my future content as well as sneak peaks of whats to come. https://www.patreon.com/CodeBullet Check out my Discord server https://discord.gg/UZDMYx5 live QnA at 8:30 - 9:00pm every Sunday AEST
Views: 2498210 Code Bullet
How to Make an Amazing Video Game Bot Easily
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/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 263582 Siraj Raval
PSO algorithm for game bots ai
PSO algorithm was used for swarm to find route to player. I know there are better algorithms for path finding, but for such type of an enemy like "ghosts" swarm I find it quite useful. It doesn't look so strange like it did when enemies were humanoids. Algorithm update time and swarm factor are dynamic parameters, possible to change during runtime Demo created with use of unreal engine 4
Views: 893 Mateusz Mowel
Never thought this day would come where I was writing my own Machine Learning Neural Network Projects... prepare to have SOME FUN! PATREON: https://www.patreon.com/Jabrils SUBSCRIBE FOR MORE SEFD SCIENCE: http://sefdstuff.com/science Table Of Contents ----- 0:00 - Intro 0:10 - My AI Story 1:58 - Starting point 2:16 - Introducing Forrest 2:35 - Discovering Forrest's Problem 3:20 - How the joystick works 3:59 - Exploring our A.I. options 4:47 - Monster Boss Battle Course 4:53 - Recap on whats going on 5:40 - Setting up our inputs 6:30 - Our Neural Network structure & how it works 8:11 - Inputting our Neural Network into Forrest 8:56 - Conclusion Please follow me on social networks: twitter: http://sefdstuff.com/twitter instagram: http://sefdstuff.com/insta reddit: https://www.reddit.com/r/SEFDStuff/ facebook: http://sefdstuff.com/faceb Music ----- Coming soon REMEMBER TO ALWAYS FEED YOUR CURIOSITY #AI #MachineLearning #gamedev
Views: 686193 Jabrils
AI learns to play Cuphead
I coded an AI in python to play cuphead.
Views: 912443 kittenswolf
Genetic algorithm. Learning to jump over ball.
Automated design of motion strategy using genetic algorithm and neural network. Learning simple creature to jump over ball.
Views: 2164500 AKUKamil
[Game Algorithms] 02 - Seeking AI
Welcome to a new series covering Game Algorithms. This series has similarities to the Video Game Mathematics Series, but this covers Game Algorithms. Welcome to a new tutorial for the Game Algorithms series. In this tutorial, I will go over an algorithm that will be used to determine Seeking Artificial Intelligence.
Views: 3043 Nathan Biefeld
Snake* snake game AI with A* algorithm
Plays the game snake intelligently by using an A* function and other functions that allow it to successfully stall until a path opens up to reach the food.
Views: 9735 Dayne Davis
Introduction to AI for Video Games
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/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 39768 Siraj Raval
AI learns to play Asteroids
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: 560863 Code Bullet
Evolution of Neural Networks using Genetic Algorithm for a 3D car made in Unity
Just a simple implementation of neural net for evolution of a car to finish the track. The neural network itself doesn't evolve in shape, but in the neuron connection weights. Made in Unity Music: "Righteous" by Silent Partner
Views: 501733 Tomek S
AI learns to play Tetris
I created an AI that learns to play Tetris using a genetic algorithm. I built off of a JavaScript Tetris game and created a demo where you can watch the AI play, or play yourself! I identified important parameters that the AI should consider when choosing a move, such as holes, bumpiness, and line clearing. If it wins does that make it the worlds best AI? Run the AI in your browser (run the AI yourself): https://loonride.github.io/tetris-ai/public/ Source code: https://github.com/Loonride/tetris-ai Follow me on twitter https://twitter.com/Loonride Become a patreon to support my future content https://www.patreon.com/loonride Check out my Discord server: https://discord.gg/Sfbg2Sh JavaScript Tetris game I used: https://github.com/simon-tiger/tetris-js Check out the tutorial and library on genetic algorithms in JavaScript: https://github.com/subprotocol/genetic-js Music: Voices - Josh: https://soundcloud.com/user-581071384/josh-voices Tetris Theme Song (Trap Remix): https://youtu.be/s-Dq5FJEH10 Let me know if you want to see more complex moves for this AI, and also suggest some games that an AI could learn to play. There are many games that AI could learn to play. One idea is to create a similar concept to the AI learns to play the Worlds Hardest Game. For example, you could watch some AI crush some more levels from the Worlds Hardest game.
Views: 2796 Loonride
Evolution Simulator (Part 1/4)
Part 2: https://www.youtube.com/watch?v=31dsH2Fs1IQ Evolution Simulator Source Code: (I can only hope there are no bugs): http://www.openprocessing.org/sketch/377698 Also, yes, I sound a lot like Tennis Ball. I created this simulator with Processing 1.5.1. I probably should have mentioned that in the video. Music: "Perspectives" by Kevin MacLeod http://incompetech.com/music/royalty-free/index.html?isrc=USUAN1300027
Views: 2480984 carykh
How does a Board Game AI Work? (Connect 4, Othello, Chess, Checkers) - Minimax Algorithm Explained
In this video I build up the intuition for how an expert level board game AI works. We start with a very simple approach of making random moves and then progress to building board scoring heuristics and then finally to the minimax algorithm. I will try to make a video on how to actually program this type of AI in python within the next few weeks. Make sure to subscribe to not miss that! As a bit of background, the minimax algorithm was the same basic algorithm used in IBM Deep Blue that defeated Chess Grandmaster Gary Kasparov in 1997. Link to my first video on how to program Connect 4 in Python: https://www.youtube.com/watch?v=UYgyRArKDEs&t=68s Read more about the Minimax Algorithm: https://en.wikipedia.org/wiki/Minimax https://en.wikipedia.org/wiki/Alpha%E2%80%93beta_pruning https://en.wikipedia.org/wiki/Monte_Carlo_tree_search Link to Stanford Paper on Othello AIs that I got some diagrams from: https://web.stanford.edu/class/cs221/2017/restricted/p-final/man4/final.pdf Link to Medium Article on Programming a Chess AI: https://medium.freecodecamp.org/simple-chess-ai-step-by-step-1d55a9266977 Thank you guys for supporting my channel! Make sure to through this video a thumbs up and also subscribe! :) Leave me a comment on what my next video should be on!
Views: 756 Keith Galli
Artificial Intelligence in Google's Dinosaur (English Sub)
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: 1154473 Ivan Seidel
Google DeepMind's Deep Q-learning playing Atari Breakout
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: 896037 Two Minute Papers
Implement an AI for a game in Java with the MinMax Algorithm
Learn how to implement an Artificial Intelligence for a Tic Tac Toe game in Java with the MinMax Algorithm. The algorithm is usable for more complex games like Reversi, Connect Four or Chess for example.
Views: 17333 Sylvain Saurel
From Tic Tac Toe to AlphaGo: Playing games with AI and machine learning by Roy van Rijn
Google's AlphaGo is an extraordinary breakthrough for Artificial Intelligence. The game of 19x19 Go has 1.74×10^172 unique positions and is about a 'googol' times harder to calculate than chess. Experts thought it would take at least another decade before AI would be able to beat the best human players. So how did Google tackle this problem? What algorithms did they use and how do they work? Roy van Rijn is a Software Craftsman at JPoint. He worked on miscellaneous projects and has given talks at Devoxx BE, Devoxx UK, Devoxx PL, Joy of Coding, J-Fall and J-Spring. He regularly gives trainings on various topics, including Spring, Software Architecture, Testing and Agile/Lean. He's also a blogger (http://www.royvanrijn.com) and you can follow him on Twitter (@royvanrijn).
Views: 4628 Devoxx
C++/Game Tutorial 40: AI for Tic-Tac-Toe with Minimax Algorithm
Hehe sorry about the noise at the beginning.. forgot to cut that. Today we use the recursive minimax algorithm to make an AI for Tic-Tac-Toe that never loses! Template Code: https://www.dropbox.com/s/1wdjfhhf9h9c6w9/TicTacToe.zip?dl=0 Finished Code: https://www.dropbox.com/s/tebbplwuvaqbsqj/TicTacToe_AI.zip?dl=0 More Explanation: http://neverstopbuilding.com/minimax Twitter: https://twitter.com/ChillstepCoder Seed Of Andromeda Channel: https://www.youtube.com/user/DubstepCoder Seed Of Andromeda Website: http://www.seedofandromeda.com/
Views: 75457 MakingGamesWithBen
Google's self-learning AI AlphaZero masters chess in 4 hours
Google's AI AlphaZero has shocked the chess world. Leaning on its deep neural networks, and general reinforcement learning algorithm, DeepMind's AI Alpha Zero learned to play chess well beyond the skill level of master, besting the 2016 top chess engine Stockfish 8 in a 100-game match. Alpha Zero had 28 wins, 72 draws, and 0 losses. Impressive right? And it took just 4 hours of self-play to reach such a proficiency. What the chess world has witnessed from this historic event is, simply put, mind-blowing! AlphaZero vs Magnus Carlsen anyone? :) 19-page paper via Cornell University Library https://arxiv.org/abs/1712.01815 https://arxiv.org/pdf/1712.01815.pdf PGN: 1. e4 e5 2. Nf3 Nc6 3. Bb5 Nf6 4. d3 Bc5 5. Bxc6 dxc6 6. 0-0 Nd7 7. c3 0-0 8. d4 Bd6 9. Bg5 Qe8 10. Re1 f6 11. Bh4 Qf7 12. Nbd2 a5 13. Bg3 Re8 14. Qc2 Nf8 15. c4 c5 16. d5 b6 17. Nh4 g6 18. Nhf3 Bd7 19. Rad1 Re7 20. h3 Qg7 21. Qc3 Rae8 22. a3 h6 23. Bh4 Rf7 24. Bg3 Rfe7 25. Bh4 Rf7 26. Bg3 a4 27. Kh1 Rfe7 28. Bh4 Rf7 29. Bg3 Rfe7 30. Bh4 g5 31. Bg3 Ng6 32. Nf1 Rf7 33. Ne3 Ne7 34. Qd3 h5 35. h4 Nc8 36. Re2 g4 37. Nd2 Qh7 38. Kg1 Bf8 39. Nb1 Nd6 40. Nc3 Bh6 41. Rf1 Ra8 42. Kh2 Kf8 43. Kg1 Qg6 44. f4 gxf3 45. Rxf3 Bxe3+ 46. Rfxe3 Ke7 47. Be1 Qh7 48. Rg3 Rg7 49. Rxg7+ Qxg7 50. Re3 Rg8 51. Rg3 Qh8 52. Nb1 Rxg3 53. Bxg3 Qh6 54. Nd2 Bg4 55. Kh2 Kd7 56. b3 axb3 57. Nxb3 Qg6 58. Nd2 Bd1 59. Nf3 Ba4 60. Nd2 Ke7 61. Bf2 Qg4 62. Qf3 Bd1 63. Qxg4 Bxg4 64. a4 Nb7 65. Nb1 Na5 66. Be3 Nxc4 67. Bc1 Bd7 68. Nc3 c6 69. Kg1 cxd5 70. exd5 Bf5 71. Kf2 Nd6 72. Be3 Ne4+ 73. Nxe4 Bxe4 74. a5 bxa5 75. Bxc5+ Kd7 76. d6 Bf5 77. Ba3 Kc6 78. Ke1 Kd5 79. Kd2 Ke4 80. Bb2 Kf4 81. Bc1 Kg3 82. Ke2 a4 83. Kf1 Kxh4 84. Kf2 Kg4 85. Ba3 Bd7 86. Bc1 Kf5 87. Ke3 Ke6 Internet Chess Club (ICC) Software: Blitzin http://bit.ly/179O93N Discount Code: CHESSNETWORK I'm a self-taught National Master in chess out of Pennsylvania, USA who was introduced to the game by my father in 1988 at the age of 8. The purpose of this channel is to share my knowledge of chess to help others improve their game. I enjoy continuing to improve my understanding of this great game, albeit slowly. Consider subscribing here on YouTube for frequent content, and/or connecting via any or all of the below social medias. Your support is greatly appreciated. Take care, bye. :D ★ LIVESTREAM http://twitch.tv/ChessNetwork ★ FACEBOOK http://facebook.com/ChessNetwork ★ TWITTER http://twitter.com/ChessNetwork ★ GOOGLE+ http://google.com/+ChessNetwork ★ PATREON https://www.patreon.com/ChessNetwork ★ DONATE https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=QLV226E6FUUWG
Views: 822180 ChessNetwork
Deep Q Learning for Video Games - The Math of Intelligence #9
We're going to replicate DeepMind's Deep Q Learning algorithm for Super Mario Bros! This bot will be able to play a bunch of different video games by using reinforcement learning. This is the first video in this series that uses libraries (Keras & Gym) because if it didn't, the code would be way too long for a short video. I'll make a longer, in-depth version without libraries soon. Code for this video: https://github.com/llSourcell/deep_q_learning Please Subscribe! And like. And comment. That's what keeps me going. More learning resources: https://medium.com/emergent-future/simple-reinforcement-learning-with-tensorflow-part-0-q-learning-with-tables-and-neural-networks-d195264329d0 http://pytorch.org/tutorials/intermediate/reinforcement_q_learning.html http://neuro.cs.ut.ee/demystifying-deep-reinforcement-learning/ http://karpathy.github.io/2016/05/31/rl/ https://yanpanlau.github.io/2016/07/10/FlappyBird-Keras.html https://keon.io/deep-q-learning/ http://www0.cs.ucl.ac.uk/staff/d.silver/web/Resources_files/deep_rl.pdf http://mnemstudio.org/path-finding-q-learning-tutorial.htm Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ 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/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 132460 Siraj Raval
Genetic Algorithm: AI Cars learning the best route
Example of machine learning by using race cars (swift). Here's how it works: 1) The car population is created - every car has 500 instructions 2) The cars are run on the track 3) Fitness of cars is calculated 4) Tournament selection creates the next population 5) Repeat There are 25 possible angles which the cars can rotate by in a single instruction and 8 different speeds. An instruction is run every 0.2 seconds. Fitness is gained through covering greater distance of the track & lost for taking too long. At the very beginning the user inputs determine the number of elite cars, mutation rate, population size & mutation strength (0.16 in video) Hope you enjoy, any feedback will be greatly received! Advanced Track to follow...
Views: 1483 Mark Bushby
AI 101: Monte Carlo Tree Search
Support my videos on Patreon: http://www.patreon.com/ai_and_games Tip Me At: http://www.paypal.me/AIandGames Like AI and Games on Facebook: http://www.facebook.com/AIandGames Follows me on Twitter: http://www.twitter.com/AIandGames -- This AI 101 gives a brief overview of the logic behind the Monte Carlo Tree Search algorithm. If you need to refer back to the Foundation series of AI 101, check out this playlist: https://www.youtube.com/playlist?list=PLokhY9fbx05d8LnVH6m6p3FX7ZcYUegAm
Views: 9487 AI and Games
Game AI Algorithms
Working of BFS , DFS and A Star in Unity.
Views: 14 akshay yewale
ECGC 2013 - Turn Based AI - Blue Line Game Studios
Blue Line Game Studios speaks about Artificial Intelligence algorithms for Turned-Based games at ECGC 2013.
Views: 936 ECGameCon
AI learns to play the Worlds Hardest Game || MORE LEVELS
Watch some AI crush some more levels from the Worlds Hardest game run the AI yourself: level 1: https://code-bullet.github.io/WorldsHardestGameAI/WHG/ level 2:https://code-bullet.github.io/WorldsHardestGameAI/WHG%20-%20level2/ level 3:https://code-bullet.github.io/WorldsHardestGameAI/WHG%20-%20level3/ Twitter: https://twitter.com/code_bullet Patreon: https://www.patreon.com/CodeBullet Discord: https://discord.gg/UZDMYx5
Views: 804719 Code Bullet
A* Pathfinding (E01: algorithm explanation)
Welcome to the first part in a series teaching pathfinding for video games. In this episode we take a look at the A* algorithm and how it works. Some great A* learning resources: http://theory.stanford.edu/~amitp/GameProgramming/ http://www.policyalmanac.org/games/aStarTutorial.htm Source code: https://github.com/SebLague/Pathfinding If you'd like to support these videos, you can make a recurring monthly donation (cancellable at any time) through Patreon: http://bit.ly/sebPatreon Or a once-off donation through PayPal: http://bit.ly/SupportGamedevTutorials Background music is 32. The Hidden Path by longzijun.
Views: 279660 Sebastian Lague
Deep Learning Cars
A small 2D simulation in which cars learn to maneuver through a course by themselves, using a neural network and evolutionary algorithms. Interested in how Neural Networks work? Have a look at my one-minute-explanation: https://www.youtube.com/watch?v=rEDzUT3ymw4 This simulation was implemented in Unity. You can find detailed information about how this simulation works, as well as a link to the entire source code on my website: https://arztsamuel.github.io/en/projects/unity/deepCars/deepCars.html Don't miss any future videos, by subscribing to my channel. Follow me on Twitter: https://twitter.com/SamuelArzt
Views: 1311643 Samuel Arzt
How to Make an Evolutionary Tetris AI
Let's use an evolutionary algorithm to improve a Tetris AI! We'll be coding this in Javascript (gasp) because I want to try something different. Through the process of selection, crossover, and mutation our AI will eventually be able to reach the high score of 500 in record time. Code for this video: https://github.com/llSourcell/How_to_make_an_evolutionary_tetris_bot Please Subscribe! And like. And comment. That's what keeps me going. More Learning resources: https://www.youtube.com/watch?v=L--IxUH4fac https://luckytoilet.wordpress.com/2011/05/27/coding-a-tetris-ai-using-a-genetic-algorithm/ https://codemyroad.wordpress.com/2013/04/14/tetris-ai-the-near-perfect-player/ http://www.cs.uml.edu/ecg/uploads/AIfall10/eshahar_rwest_GATetris.pdf http://cs229.stanford.edu/proj2015/238_poster.pdf Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ 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/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 46225 Siraj Raval
AI learns to play the WORLDS HARDEST GAME even more levels
Using the genetic algorithm I trained an Ai to play even more levels of the worlds hardest game. check out previous videos https://www.youtube.com/watch?v=kVwkLb8zxq0&t=353s https://www.youtube.com/watch?v=Yo2SepcNyw4&t=3s I will upload the code soon so you can run these things yourself. Twitter: https://twitter.com/code_bullet Patreon: https://www.patreon.com/CodeBullet Discord: https://discord.gg/UZDMYx5
Views: 1092144 Code Bullet
A genetic algorithm learns how to fight!
This is an implementation of a genetic algorithm on a neural network. The "fighters" are capable of self-improvement in order to become stronger. As you can see, the "fighters" are learning how to fight. Each one of them can see the bullets and the enemy in their vision field (represented by two lines), and have 5 possible actions : move forward, turn right, turn left, shoot and adjust their field of view. For more details about the neural network, the programming, click here : http://doublezoom.free.fr/programmation/AG_Exemple_Fighting.php (french) This program was made possible thanks to Pierre Lataillade and Maxime Gardet. This program was done in lua, on my iPad, thanks to codea (http://twolivesleft.com/Codea/) The music, Five Armies by Kevin MacLeod is licensed under a CC Attribution 3.0.
Views: 1976586 Ding Nicolas
Making a Mancala Game App Ep. 17: AI - using a genetic algorithm to add tactics to minimax algorithm
Wrote a script that might take a week or two to run. It uses a genetic AI algorithm to determine the best values for short-term strategy and tactics for game play with the Minimax/Negamax AI. To see the code from the end of this episode: https://github.com/PurpleSquirrelGames/MancalaGameApp/releases/tag/Episode17 The physical Mancala board (one of six variants): https://www.amazon.com/dp/B01CKHM4WC The Mancala App: https://play.google.com/store/apps/details?id=design.purplesquirrel.mancala Music: "ayVentura" by Rolemusic From the Free Music Archive CC BY
Views: 1366 needless process
Game AI using neural networks and genetic algorithms
A final year student project based on a simple real time strategy game, the AI players are trained neural networks mutated using genetic algorithms.
Views: 88 Mark Featherstone
Graph Algorithms for AI in Games : What Is a Shortest Path? | packtpub.com
This playlist/video has been uploaded for Marketing purposes and contains only selective videos. For the entire video course and code, visit [http://bit.ly/2CsfCsp]. We define what a shortest path is. • Formal definition of a shortest path • Properties of a shortest path • Shortest paths in weighted graphs For the latest Application development video tutorials, please visit http://bit.ly/1VACBzh Find us on Facebook -- http://www.facebook.com/Packtvideo Follow us on Twitter - http://www.twitter.com/packtvideo
Views: 57 Packt Video
Open AI FIVE, works together to get human team at video game
Researchers at OpenAI, a nonprofit based in California, developed the algorithmic A team, which they call the OpenAI Five. Each algorithm uses a neural network to learn not only how to play the game, but also how to cooperate with its AI teammates. It has started defeating amateur Dota 2 players in testing, OpenAI says. https://www.technologyreview.com/s/611536/a-team-of-ai-algorithms-just-crushed-expert-humans-in-a-complex-computer-game/ 🤗 Help support my channel: https://www.Patreon.com/TheOuterDark http://dailyrabbithole.com/ 📄 Steemit.com/@TheOuterLight 🐸 Gab.ai/TheOuterDark 💡 Minds.com/TheOuterDark 🔷Twitter.com/Esoteric_ed Chat-room: 👾 https://discord.gg/2YNKCwc 🎧 YouTube channels: YouTube.com/c/TheOuterLight YouTube.com/c/TheOuterDark https://www.Patreon.com/TheOuterDark
Views: 3891 The Outer Light
Elon Musk’s A.I. Destroys Champion Gamer!
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: 1629051 ColdFusion
AI snake game [Hanash] ,  with source code in c++, AI algorithm implemented
AI snake game , based on SDL2 Library C++ .Intelligent snake game with jumping feature , AI algorithm implemented on opponent snakes the code: https://github.com/ajhamdi/AI_SNAKE the game is built by: Abdullah Hamdi , Mohammad Alsobay .. in KAUST , Saudi Arabia .... for more information please contact at abdullah.hamdi@kaust.edu.sa all rights are reserved @2017 .. to be used only for educational purposes FOR WINDOWS ONLY
Views: 677 Abdullah Hamdi
Car Game AI using Genetic Algorithm
This is the second episode of the series AI playing Games The game is made with pygame. The agent takes the three possible distances to walls: to the left, right and up front. A Neural Network is used to predict one of the three possible actions left, right or straight ahead. Please subscribe to stay up to date Music: "Overworld" Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0 http://creativecommons.org/licenses/by/3.0/
Views: 66 Forced Agent
Shortest Path Algorithm (Snake Game with AI)
Shortest path algorithm and some image manipulation using pixelation
Views: 574 Gustavo Bakker
Machine Learning in Unity – How to give your game AI a real brain
Ciro Continisio, Technical Evangelist, Unity Technologies Alessia Nigretti, Technical Evangelist, Unity Technologies Discover how to implement Machine Learning through Unity, and how to use its power to create the next level of AI.
Views: 2458 DevGAMM Conference
AI learns Snake Part 2 || Snake Fusion
Using the genetic algorithm and neural networks I trained up 5 snakes who will then fuse to become the ultimate snake... Check out the source code https://github.com/Code-Bullet/SnakeFusion Music: EDM Detection Mode by Kevin MacLeod is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) Source: http://incompetech.com/music/royalty-free/index.html?isrc=USUAN1500026 Artist: http://incompetech.com/ Balzan Groove - Vadodara by Kevin MacLeod is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) Source: http://incompetech.com/music/royalty-free/index.html?isrc=USUAN1100311 Artist: http://incompetech.com/
Views: 800270 Code Bullet

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