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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
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
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