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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 1–25 of 52 papers

TitleStatusHype
GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic EvaluationsCode3
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement LearningCode2
AlphaDou: High-Performance End-to-End Doudizhu AI Integrating BiddingCode1
Introducing Tales of Tribute AI CompetitionCode1
PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop GamesCode1
Drafting in Collectible Card Games via Reinforcement LearningCode1
Deep Reinforcement Learning from Self-Play in Imperfect-Information GamesCode1
Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4Code1
DanZero+: Dominating the GuanDan Game through Reinforcement LearningCode1
Latent Predictor Networks for Code GenerationCode1
The Winnability of Klondike Solitaire and Many Other Patience GamesCode1
Cardiverse: Harnessing LLMs for Novel Card Game Prototyping—0
Improving Search with Supervised Learning in Trick-Based Card Games—0
ELO System for Skat and Other Games of Chance—0
A Taxonomy of Collectible Card Games from a Game-Playing AI Perspective—0
Aggregated Semantic Matching for Short Text Entity Linking—0
History Filtering in Imperfect Information Games: Algorithms and Complexity—0
GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training—0
Learning Policies from Human Data for Skat—0
GFlowVLM: Enhancing Multi-step Reasoning in Vision-Language Models with Generative Flow Networks—0
Evolving Evaluation Functions for Collectible Card Game AI—0
DanZero: Mastering GuanDan Game with Reinforcement Learning—0
Contrastive Learning of Preferences with a Contextual InfoNCE Loss—0
Evolutionary Approach to Collectible Card Game Arena Deckbuilding using Active Genes—0
Introducing the Hearthstone-AI Competition—0
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