facebookresearch / rebel
An algorithm that generalizes the paradigm of self-play reinforcement learning and search to imperfect-information games.
☆672Updated last year
Alternatives and similar repositories for rebel
Users that are interested in rebel are comparing it to the libraries listed below
Sorting:
- Framework for Multi-Agent Deep Reinforcement Learning in Poker☆462Updated 2 years ago
- Scalable Implementation of Deep CFR and Single Deep CFR☆297Updated 5 years ago
- Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.☆894Updated last year
- A structured implementation of MuZero☆204Updated 2 years ago
- Scalable implementation of DREAM - Deep RL for multi-agent imperfect information games☆117Updated 9 months ago
- ☆217Updated 6 years ago
- Implementations of CFR for solving a variety of Holdem-like poker games☆153Updated last year
- Implementation of Pluribus by Noam Brown & Tuomas Sandholm, a Superhuman AI for 6-MAX No-Limit Holdem Poker Bot.☆230Updated 3 years ago
- A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each othe…☆158Updated 4 years ago
- Scalable Implementation of Neural Fictitous Self-Play☆78Updated 6 years ago
- Pytorch Implementation of MuZero☆352Updated last year
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆566Updated 2 years ago
- ☆71Updated last year
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…☆819Updated 2 years ago
- Texas holdem OpenAi gym poker environment with reinforcement learning based on keras-rl. Includes virtual rendering and montecarlo for eq…☆668Updated last year
- Python implementation of Deepstack☆83Updated 5 years ago
- An attempt at a Python implementation of Pluribus, a No-Limits Hold'em Poker Bot☆102Updated 4 years ago
- A python implementation of Counterfactual Regret Minimization for poker☆285Updated 10 years ago
- Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research☆727Updated 2 months ago
- Counterfactual regret minimization algorithm for Kuhn poker☆172Updated 6 years ago
- An open implementation of Pure CFR applied to ACPC poker games.☆206Updated 8 years ago
- ♟️ Vectorized RL game environments in JAX☆473Updated 2 months ago
- OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning☆162Updated 5 years ago
- ☆71Updated 11 months ago
- Poker with Deep Reinforcement Learning, multi processing, genetic algorithms☆73Updated 11 months ago
- C++ implementations of Counterfactual Regret Minimization and Monte Carlo CFR☆74Updated 2 years ago
- A Python interface for reinforcement learning environments☆364Updated 2 years ago
- A NLTH Poker Agent using Counterfactual Regret Minimization☆51Updated 5 years ago
- 🤖 An Open Source Texas Hold'em AI☆304Updated last year
- A PyTorch Platform for Distributed RL☆747Updated 3 years ago