cgnicholls / rlpokerLinks
Reinforcement learning algorithms to play Poker
☆14Updated 3 years ago
Alternatives and similar repositories for rlpoker
Users that are interested in rlpoker are comparing it to the libraries listed below
Sorting:
- Fictitious Self-play & Reinforcement Learning☆18Updated 7 years ago
- Simple implementation of regret matching algorithm for RPS nash equilibrium computation via self-play☆25Updated 6 years ago
- Collection of game-theoretic algorithms for Poker☆29Updated 6 years ago
- Scalable Implementation of Neural Fictitous Self-Play☆83Updated 6 years ago
- Monte Carlo Conterfactual Regret Minimization for imperfect information games☆13Updated 6 years ago
- Deep reinforcement learning baselines base on OpenAI. More algorithms are included, such as Rainbow: Combining Improvements in Deep Rei…☆35Updated 7 years ago
- A RNN PokerBot implementing DeepStack strategies☆57Updated 8 years ago
- Counterfactual regret minimization algorithm for Kuhn poker☆175Updated 6 years ago
- Counterfactual Regret Minimization for poker games☆21Updated 6 years ago
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆47Updated 4 years ago
- Distributed implementation of popular evolutionary methods☆64Updated 7 years ago
- Bayesian Uncertainty Exploration in Deep Reinforcement Learning☆18Updated 8 years ago
- ☆24Updated 6 years ago
- This code is based on the implementation of http://www.cs.cmu.edu/afs/cs/Web/People/sandholm/potential-aware_imperfect-recall.aaai14.pdf,…☆35Updated 6 years ago
- A python implemenation of tabular MuZero for educational purposes☆21Updated 5 years ago
- Using self-play, MCTS, and a deep neural network to create a hearthstone ai player☆29Updated 6 years ago
- Full Chainer implementation of OpenAI's Reinforcement Learning using Random Network Distillation☆31Updated 6 years ago
- RainBow, Tensorflow☆49Updated 7 years ago
- 🃏♠️♥️♦️♣️☆28Updated 5 years ago
- Reinforcement Learning Assembly☆92Updated 3 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- A NLTH Poker Agent using Counterfactual Regret Minimization☆51Updated 5 years ago
- Scalable implementation of DREAM - Deep RL for multi-agent imperfect information games☆118Updated last year
- A PyTorch implementation of SEED, originally created by Google Research for TensorFlow 2.☆14Updated 4 years ago
- Python implementations of counterfactual regret minimization exercises found here: http://modelai.gettysburg.edu/2013/cfr/☆10Updated 8 years ago
- ☆35Updated 7 years ago
- OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning☆165Updated 5 years ago
- This is an implementation of DeepStack for No Limit Texas Hold'em, extended from DeepStack-Leduc.☆26Updated 6 years ago
- Potential-Aware Imperfect-Recall Abstraction with Earth Mover’s Distance in Imperfect-Information Games☆16Updated 6 years ago
- A StarCraft 2 agent for harvesting resources☆13Updated 7 years ago