Difference between revisions of "Gaming"
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* [[Case Studies]] | * [[Case Studies]] | ||
* [[Reinforcement Learning (RL)]] | * [[Reinforcement Learning (RL)]] | ||
| − | * [[Deep Q | + | * [[Deep Q Network (DQN)]] |
* [[Competitions]] | * [[Competitions]] | ||
* [http://arxiv.org/pdf/1908.09453.pdf OpenSpiel: A Framework for Reinforcement Learning in Games | M. Lanctot, E. Lockhart, J. Lespiau1, V. Zambaldi1, S. Upadhyay, J. Pérolat, S. Srinivasan, F. Timbers, K. Tuyls, S. Omidshafiei, D. Hennes, D. Morrill1, P. Muller, T. Ewalds, R. Faulkner, J. Kramár, B. De Vylder, B. Saeta, J. Bradbury, D. Ding, S. Borgeaud, M. Lai1, J. Schrittwieser, T. Anthony, E. Hughes, I. Danihelka and J. Ryan-Davis - DeepMind] | * [http://arxiv.org/pdf/1908.09453.pdf OpenSpiel: A Framework for Reinforcement Learning in Games | M. Lanctot, E. Lockhart, J. Lespiau1, V. Zambaldi1, S. Upadhyay, J. Pérolat, S. Srinivasan, F. Timbers, K. Tuyls, S. Omidshafiei, D. Hennes, D. Morrill1, P. Muller, T. Ewalds, R. Faulkner, J. Kramár, B. De Vylder, B. Saeta, J. Bradbury, D. Ding, S. Borgeaud, M. Lai1, J. Schrittwieser, T. Anthony, E. Hughes, I. Danihelka and J. Ryan-Davis - DeepMind] | ||
Revision as of 15:15, 1 September 2019
Youtube search... ...Google search
- Case Studies
- Reinforcement Learning (RL)
- Deep Q Network (DQN)
- Competitions
- OpenSpiel: A Framework for Reinforcement Learning in Games | M. Lanctot, E. Lockhart, J. Lespiau1, V. Zambaldi1, S. Upadhyay, J. Pérolat, S. Srinivasan, F. Timbers, K. Tuyls, S. Omidshafiei, D. Hennes, D. Morrill1, P. Muller, T. Ewalds, R. Faulkner, J. Kramár, B. De Vylder, B. Saeta, J. Bradbury, D. Ding, S. Borgeaud, M. Lai1, J. Schrittwieser, T. Anthony, E. Hughes, I. Danihelka and J. Ryan-Davis - DeepMind
- AI is becoming esports’ secret weapon | Berk Ozer - VentureBeat
- Inside the LARPS (ive-action role-playing game) that let Human Players Experience AI Life | Tasha Robinson
- An introduction to Deep Q-Learning: let’s play Doom
- AI and Games Series; an Informed Overview | Dr Tommy Thompson
- Game Changer: AlphaZero's Groundbreaking Chess Strategies and the Promise of AI | M. Sadler and N. Regan
- Artificial Intelligence in Video Games | Wikipedia
- Using Machine Learning Agents Toolkit in a real game: a beginner’s guide | Alessia Nigretti - Unity
- AlphaStar: Mastering the Real-Time Strategy Game StarCraft II
- Google’s AI surfs the “gamescape” to conquer game theory | Tiernan Ray
- This AI Robot Will Beat You at Jenga | Jesus Diaz
Contents
- 1 Brown & Sandholm: 6-player Poker ...2019
- 2 Google DeepMind AlphaStar: StarCraft II ... 2019
- 3 OpenAI: Dota 2 ...2018
- 4 Google DeepMind AlphaGo Zero: Go ...2016
- 5 Google DeepMind: Atari video games ...2015
- 6 IBM Watson: Jeopardy ...2011
- 7 IBM Deep Blue: Chess ...1997
- 8 Donald Waterman: Draw Poker ...1968
- 9 Arthur Samuel: Checkers ...1950s
- 10 Fun!
- 11 Books
Brown & Sandholm: 6-player Poker ...2019
- Occlusions
- Facebook and Carnegie Mellon (CMU) ‘superhuman’ poker AI beats human pros, ‘It can bluff better than any human.’ | James Vincent - The Verge
Google DeepMind AlphaStar: StarCraft II ... 2019
OpenAI: Dota 2 ...2018
Google DeepMind AlphaGo Zero: Go ...2016
Google DeepMind: Atari video games ...2015
IBM Watson: Jeopardy ...2011
IBM Deep Blue: Chess ...1997
Donald Waterman: Draw Poker ...1968
Arthur Samuel: Checkers ...1950s
Fun!
Books
Invent Your Own Computer Games with Python | Al Sweigart
Deep Learning and the Game of Go | Max Pumperla, Kevin Ferguson
