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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 26–50 of 52 papers

TitleStatusHype
History Filtering in Imperfect Information Games: Algorithms and Complexity—0
Towards Computationally Efficient Responsibility Attribution in Decentralized Partially Observable MDPsCode0
DanZero: Mastering GuanDan Game with Reinforcement Learning—0
Towards Modern Card Games with Large-Scale Action Spaces Through Action Representation—0
On the complexity of Dark Chinese Chess—0
Predicting Human Card Selection in Magic: The Gathering with Contextual Preference RankingCode0
Evolving Evaluation Functions for Collectible Card Game AI—0
ELO System for Skat and Other Games of Chance—0
Knowledge-Based Paranoia Search in Trick-Taking—0
Analysis of Evolutionary Program Synthesis for Card GamesCode0
Evolutionary Approach to Collectible Card Game Arena Deckbuilding using Active Genes—0
RLCard: A Toolkit for Reinforcement Learning in Card GamesCode0
The Many AI Challenges of Hearthstone—0
Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game JassCode0
Policy Based Inference in Trick-Taking Card Games—0
Learning Policies from Human Data for Skat—0
Introducing the Hearthstone-AI Competition—0
Improving Search with Supervised Learning in Trick-Based Card Games—0
Combinational Q-Learning for Dou Di ZhuCode0
Neural Networks Models for Analyzing Magic: the Gathering Cards—0
Aggregated Semantic Matching for Short Text Entity Linking—0
Application of Self-Play Reinforcement Learning to a Four-Player Game of Imperfect InformationCode0
Approximating Poker Probabilities with Deep LearningCode0
Q-DeckRec: A Fast Deck Recommendation System for Collectible Card GamesCode0
Procedural Content Generation via Machine Learning (PCGML)—0
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