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[D] Paper Explained & Author Interview - Player of Games: All the games, one algorithm! (Video Walkthrough)
Jan. 2, 2022, 12:52 p.m. | /u/ykilcher
Machine Learning www.reddit.com
Special Guest: First author Martin Schmid (https://twitter.com/Lifrordi)
Games have been used throughout research as testbeds for AI algorithms, such as reinforcement learning agents. However, different types of games usually require different solution approaches, such as AlphaZero for Go or Chess, and Counterfactual Regret Minimization (CFR) for Poker. Player of Games bridges this gap between perfect and imperfect information games and delivers a single algorithm that uses tree search over public information states, and is trained via self-play. …
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