Gaming

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• Case Studies
• Reinforcement Learning (RL)
• Deep Q Learning (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

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

Arthur Samuel: Checkers ...1950s

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