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• 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
• Google:
  • AlphaStar: Mastering the Real-Time Strategy Game StarCraft II
  • Google’s AI surfs the “gamescape” to conquer game theory | Tiernan Ray
  • DeepMind’s AI can now play all 57 Atari games—but it’s still not versatile enough | MIT Technology Review ...Agent57 | DeepMind
  • 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
    • OpenSpiel | GitHub
    • DeepMind details OpenSpiel, a collection of AI training tools for video games | Kyle Wiggers - VentureBeat
• This AI Robot Will Beat You at Jenga | Jesus Diaz
• In This Browser Game, Your Opponents Are Neural Networks | Dan Robitzski - Futurism
• You can do nearly anything you want in this incredible AI-powered game | Patricia Hernandez - Polygon To play Jupyter-notebook based game click... AI Dungeon 2

40 Years on, PAC-MAN Recreated with AI by NVIDIA Researchers | Nvidia ...2020

• GameGAN, a generative adversarial network trained on 50,000 PAC-MAN episodes, produces a fully functional version of the dot-munching classic without an underlying game engine.

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

IBM Watson: Jeopardy ...2011

• IBM Watson: The inside story of how the Jeopardy-winning supercomputer was born, and what it wants to do next | Jo Best - TechRepublic

Donald Waterman: Draw Poker ...1968

• Donald Waterman publications - production systems

Donald Michie: MENACE ...1960

• How 300 Matchboxes Learned to Play Tic-Tac-Toe Using MENACE | Caspar Wylie - ODSC
• Menace: the Machine Educable Noughts And Crosses Engine | Oliver Child - Chalkdust

Menace “learns” to play noughts and crosses by playing the game repeatedly against another player, each time refining its strategy until after having played a certain number of games it becomes almost perfect and its opponent is only able to draw or lose against it. The learning process involves being “punished” for losing and “rewarded” for drawing or winning, in much the same way that a child learns. This type of machine learning is called Reinforcement Learning.

Arthur Samuel: Checkers ...1950s

• Arthur Samuel - heuristics
• The Game of Checkers: Solved, 2007

Books

Invent Your Own Computer Games with Python | Al Sweigart

Deep Learning and the Game of Go | Max Pumperla, Kevin Ferguson

Hands-On Deep Learning for Games: Leverage the power of neural networks and reinforcement learning to build intelligent games | Micheal Lanham

Machine learning and Artificial Intelligence 2.0 with Big Data: Building Video Games using Python 3.7 and Pygame | Narendra Mohan Mittal