EricSteinberger / Neural-Fictitous-Self-Play
Scalable Implementation of Neural Fictitous Self-Play
☆77Updated 6 years ago
Alternatives and similar repositories for Neural-Fictitous-Self-Play:
Users that are interested in Neural-Fictitous-Self-Play are comparing it to the libraries listed below
- Scalable implementation of DREAM - Deep RL for multi-agent imperfect information games☆115Updated 8 months 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,…☆34Updated 6 years ago
- Scalable Implementation of Deep CFR and Single Deep CFR☆294Updated 4 years ago
- Simple implementation of regret matching algorithm for RPS nash equilibrium computation via self-play☆25Updated 6 years ago
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆46Updated 6 years ago
- Counterfactual regret minimization algorithm for Kuhn poker☆170Updated 6 years ago
- Python implementation of Deepstack☆84Updated 5 years ago
- Official Code Release for Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games☆50Updated 7 months ago
- Deep RL Code for XDO: A Double Oracle Algorithm for Extensive-Form Games☆38Updated 3 years ago
- An attempt at a Python implementation of Pluribus, a No-Limits Hold'em Poker Bot☆102Updated 4 years ago
- Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning☆100Updated 2 years ago
- Fictitious Self-play & Reinforcement Learning☆18Updated 7 years ago
- ☆70Updated 10 months ago
- A NLTH Poker Agent using Counterfactual Regret Minimization☆51Updated 5 years ago
- Code for "AutoCFR: Learning to Design Counterfatual Regret Minimization Algorithms", AAAI 2022 (Oral)☆17Updated 11 months ago
- Code release for Learning with Opponent-Learning Awareness and variations.☆147Updated 2 years ago
- C++ implementations of Counterfactual Regret Minimization and Monte Carlo CFR☆74Updated 2 years ago
- poker ai☆30Updated 3 years ago
- ☆18Updated 5 years ago
- Neural Fictitious Self-Play in Leduc Holdem☆11Updated 6 years ago
- Experimentation with Regularized Nash Dynamics on a GPU accelerated game☆47Updated last year
- Results reproductions & comparisons between OpenSpiel implementations, associated paper & originating works☆17Updated 4 years ago
- Framework for Multi-Agent Deep Reinforcement Learning in Poker☆456Updated 2 years ago
- Implementations of CFR for solving a variety of Holdem-like poker games☆151Updated last year
- ☆71Updated last year
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆94Updated 6 years ago
- Multi-Agent RL Environment for the Stratego Board Game (and variants)☆34Updated last year
- cfrx is a collection of algorithms and tools for hardware-accelerated Counterfactual Regret Minimization (CFR) algorithms in Jax.☆30Updated 8 months ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 7 years ago
- Potential-Aware Imperfect-Recall Abstraction with Earth Mover’s Distance in Imperfect-Information Games☆16Updated 6 years ago