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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

Showing 125 of 52 papers

TitleStatusHype
Reinforcement Learning for Hanabi0
SPIN-Bench: How Well Do LLMs Plan Strategically and Reason Socially?0
GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training0
GFlowVLM: Enhancing Multi-step Reasoning in Vision-Language Models with Generative Flow Networks0
Cardiverse: Harnessing LLMs for Novel Card Game Prototyping0
Optimizing Hearthstone Agents using an Evolutionary AlgorithmCode0
A Taxonomy of Collectible Card Games from a Game-Playing AI Perspective0
Identifying and Clustering Counter Relationships of Team Compositions in PvP Games for Efficient Balance AnalysisCode0
AlphaDou: High-Performance End-to-End Doudizhu AI Integrating BiddingCode1
Learning With Generalised Card Representations for "Magic: The Gathering"0
Contrastive Learning of Preferences with a Contextual InfoNCE Loss0
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 Agents0
Transformer Based Planning in the Observation Space with Applications to Trick Taking Card Games0
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 Game0
History Filtering in Imperfect Information Games: Algorithms and Complexity0
Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4Code1
PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop GamesCode1
Introducing Tales of Tribute AI CompetitionCode1
Towards Computationally Efficient Responsibility Attribution in Decentralized Partially Observable MDPsCode0
DanZero: Mastering GuanDan Game with Reinforcement Learning0
Towards Modern Card Games with Large-Scale Action Spaces Through Action Representation0
On the complexity of Dark Chinese Chess0
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