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Card Games

Card games involve playing cards: the task is to train an agent to play the game with specified rules and beat other players.

Papers

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Showing 11–20 of 52 papers

TitleStatusHype
Contrastive Learning of Preferences with a Contextual InfoNCE Loss—0
Enhancing Commentary Strategies for Imperfect Information Card Games: A Study of Large Language Models in Guandan CommentaryCode0
Learning to Beat ByteRL: Exploitability of Collectible Card Game Agents—0
Transformer Based Planning in the Observation Space with Applications to Trick Taking Card Games—0
GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic EvaluationsCode3
DanZero+: Dominating the GuanDan Game through Reinforcement LearningCode1
Two-Step Reinforcement Learning for Multistage Strategy Card Game—0
History Filtering in Imperfect Information Games: Algorithms and Complexity—0
Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4Code1
PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop GamesCode1
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