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Card Games
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Card games involve playing cards: the task is to train an agent to play the game with specified rules and beat other players.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
SPIN-Bench: How Well Do LLMs Plan Strategically and Reason Socially?
GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training
GFlowVLM: Enhancing Multi-step Reasoning in Vision-Language Models with Generative Flow Networks
Cardiverse: Harnessing LLMs for Novel Card Game Prototyping
Optimizing Hearthstone Agents using an Evolutionary Algorithm
A Taxonomy of Collectible Card Games from a Game-Playing AI Perspective
Identifying and Clustering Counter Relationships of Team Compositions in PvP Games for Efficient Balance Analysis
AlphaDou: High-Performance End-to-End Doudizhu AI Integrating Bidding
The Design of a 3D Character Animation System for Digital Twins in the Metaverse
Learning With Generalised Card Representations for "Magic: The Gathering"
Contrastive Learning of Preferences with a Contextual InfoNCE Loss
Enhancing Commentary Strategies for Imperfect Information Card Games: A Study of Large Language Models in Guandan Commentary
Learning to Beat ByteRL: Exploitability of Collectible Card Game Agents
Transformer Based Planning in the Observation Space with Applications to Trick Taking Card Games
GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations
DanZero+: Dominating the GuanDan Game through Reinforcement Learning
Two-Step Reinforcement Learning for Multistage Strategy Card Game
History Filtering in Imperfect Information Games: Algorithms and Complexity
Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4
Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi
PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games
Introducing Tales of Tribute AI Competition
Towards Computationally Efficient Responsibility Attribution in Decentralized Partially Observable MDPs
DanZero: Mastering GuanDan Game with Reinforcement Learning
Towards Modern Card Games with Large-Scale Action Spaces Through Action Representation
On-the-fly Strategy Adaptation for ad-hoc Agent Coordination
On the complexity of Dark Chinese Chess
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
Predicting Human Card Selection in Magic: The Gathering with Contextual Preference Ranking
Evolving Evaluation Functions for Collectible Card Game AI
ELO System for Skat and Other Games of Chance
Knowledge-Based Paranoia Search in Trick-Taking
Analysis of Evolutionary Program Synthesis for Card Games
Drafting in Collectible Card Games via Reinforcement Learning
Tackling Morpion Solitaire with AlphaZero-likeRanked Reward Reinforcement Learning
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