SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

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
DanZero+: Dominating the GuanDan Game through Reinforcement LearningCode1
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
Drafting in Collectible Card Games via Reinforcement LearningCode1
The Winnability of Klondike Solitaire and Many Other Patience GamesCode1
Latent Predictor Networks for Code GenerationCode1
Deep Reinforcement Learning from Self-Play in Imperfect-Information GamesCode1
Reinforcement Learning for Hanabi—0
SPIN-Bench: How Well Do LLMs Plan Strategically and Reason Socially?—0
GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training—0
GFlowVLM: Enhancing Multi-step Reasoning in Vision-Language Models with Generative Flow Networks—0
Cardiverse: Harnessing LLMs for Novel Card Game Prototyping—0
Optimizing Hearthstone Agents using an Evolutionary AlgorithmCode0
A Taxonomy of Collectible Card Games from a Game-Playing AI Perspective—0
Identifying and Clustering Counter Relationships of Team Compositions in PvP Games for Efficient Balance AnalysisCode0
Learning With Generalised Card Representations for "Magic: The Gathering"—0
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
Two-Step Reinforcement Learning for Multistage Strategy Card Game—0
Show:102550
← PrevPage 1 of 3Next →

No leaderboard results yet.