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Mixture of Public and Private Distributions in Imperfect Information Games
In imperfect information games (e. g. Bridge, Skat, Poker), one of the fundamental considerations is to infer the missing information while at the same time avoiding the disclosure of private information.
Deep Reinforcement Learning for 5*5 Multiplayer Go
In recent years, much progress has been made in computer Go and most of the results have been obtained thanks to search algorithms (Monte Carlo Tree Search) and Deep Reinforcement Learning (DRL).
Vision Transformers for Computer Go
Motivated by the success of transformers in various fields, such as language understanding and image analysis, this investigation explores their application in the context of the game of Go.
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