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Game of Poker

5 papers with code · Playing Games
Subtask of Card Games

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RLCard: A Toolkit for Reinforcement Learning in Card Games

10 Oct 2019datamllab/rlcard

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.

BOARD GAMES GAME OF POKER MULTI-AGENT REINFORCEMENT LEARNING

DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker

6 Jan 2017lifrordi/DeepStack-Leduc

Poker is the quintessential game of imperfect information, and a longstanding challenge problem in artificial intelligence.

GAME OF POKER

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

3 Mar 2016TinkeringCode/Neural-Fictitous-Self-Play

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

GAME OF POKER

Approximating Poker Probabilities with Deep Learning

22 Aug 2018brandinho/Poker-Probability-Approximation

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

GAME OF POKER

Poker-CNN: A Pattern Learning Strategy for Making Draws and Bets in Poker Games

22 Sep 2015TopologicLogic/CFRM-ES-CFU-XGBoost

The contributions of this paper include: (1) a novel representation for poker games, extendable to different poker variations, (2) a CNN based learning model that can effectively learn the patterns in three different games, and (3) a self-trained system that significantly beats the heuristic-based program on which it is trained, and our system is competitive against human expert players.

GAME OF POKER