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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
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement LearningCode2
Predicting Human Card Selection in Magic: The Gathering with Contextual Preference RankingCode0
Evolving Evaluation Functions for Collectible Card Game AI—0
Knowledge-Based Paranoia Search in Trick-Taking—0
ELO System for Skat and Other Games of Chance—0
Analysis of Evolutionary Program Synthesis for Card GamesCode0
Drafting in Collectible Card Games via Reinforcement LearningCode1
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
The Winnability of Klondike Solitaire and Many Other Patience GamesCode1
Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game JassCode0
Learning Policies from Human Data for Skat—0
Policy Based Inference in Trick-Taking Card Games—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
Latent Predictor Networks for Code GenerationCode1
Deep Reinforcement Learning from Self-Play in Imperfect-Information GamesCode1
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