Card Games

16 papers with code • 0 benchmarks • 1 datasets

Card games involve playing cards: the task is to train an agent to play the game with specified rules and beat other players.

Most implemented papers

RLCard: A Toolkit for Reinforcement Learning in Card Games

datamllab/rlcard 10 Oct 2019

The goal of RLCard is to bridge reinforcement learning and imperfect information games, and push forward the research of reinforcement learning in domains with multiple agents, large state and action space, and sparse reward.

Deep Reinforcement Learning from Self-Play in Imperfect-Information Games

deepmind/open_spiel 3 Mar 2016

When applied to Leduc poker, Neural Fictitious Self-Play (NFSP) approached a Nash equilibrium, whereas common reinforcement learning methods diverged.

Latent Predictor Networks for Code Generation

deepmind/card2code ACL 2016

Many language generation tasks require the production of text conditioned on both structured and unstructured inputs.

Application of Self-Play Reinforcement Learning to a Four-Player Game of Imperfect Information

henrycharlesworth/big2_PPOalgorithm 30 Aug 2018

We introduce a new virtual environment for simulating a card game known as "Big 2".

Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass

tobiasemrich/SchafkopfRL 11 Jun 2019

Jass is a very popular card game in Switzerland and is closely connected with Swiss culture.

Q-DeckRec: A Fast Deck Recommendation System for Collectible Card Games

czxttkl/X-AI 26 Jun 2018

Deck building is a crucial component in playing Collectible Card Games (CCGs).

Approximating Poker Probabilities with Deep Learning

brandinho/Poker-Probability-Approximation 22 Aug 2018

Many poker systems, whether created with heuristics or machine learning, rely on the probability of winning as a key input.

Combinational Q-Learning for Dou Di Zhu

qq456cvb/doudizhu-C 24 Jan 2019

Deep reinforcement learning (DRL) has gained a lot of attention in recent years, and has been proven to be able to play Atari games and Go at or above human levels.

The Winnability of Klondike Solitaire and Many Other Patience Games

thecharlieblake/Solvitaire 28 Jun 2019

Our ignorance of the winnability percentage of the game in the Windows Solitaire program, more properly called 'Klondike', has been described as "one of the embarrassments of applied mathematics".

Drafting in Collectible Card Games via Reinforcement Learning

ronaldosvieira/gym-locm 7 Nov 2020

In this paper, we present a deep reinforcement learning approach for deck building in arena mode - an understudied game mode present in many collectible card games.