notes-cog-ai-games-aiGamesMisc

the famous 'deepmind' deep learning Atari paper:

Playing Atari with Deep Reinforcement Learning by Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, Martin Riedmiller

in games with hidden information, just to monte-carlo sampling and have the nodes represent 'what you know' about the game, rather than a specific game state:

Information Set Monte Carlo Tree Search, Whitehouse, Daniel (2014) Monte Carlo Tree Search for games with Hidden Information and Uncertainty. PhD thesis, University of York

intro:

https://www.gamedev.net/articles/programming/artificial-intelligence/the-total-beginners-guide-to-game-ai-r4942/