lucky72s / dyypholdem
☆27Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for dyypholdem
- poker ai☆28Updated 2 years ago
- Python implementation of Deepstack☆79Updated 5 years ago
- A NLTH Poker Agent using Counterfactual Regret Minimization☆49Updated 4 years ago
- Implementations of CFR for solving a variety of Holdem-like poker games☆137Updated last year
- ☆69Updated 9 months ago
- ☆206Updated 6 years ago
- An attempt at a Python implementation of Pluribus, a No-Limits Hold'em Poker Bot☆100Updated 4 years ago
- ☆31Updated 4 years ago
- A poker AI for NL Texas Holdem trained using Monte-Carlo Counterfactual Regret Minimization.☆89Updated 2 years ago
- ☆32Updated 5 years ago
- An open implementation of Pure CFR applied to ACPC poker games.☆203Updated 7 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,…☆34Updated 5 years ago
- A C library for indexing poker hands that respects suit isomorphisms☆65Updated 10 years ago
- ☆58Updated 5 months ago
- k-means clustering for poker hands based on earth mover's distance (EMD)☆15Updated 4 years ago
- C++ implementations of Counterfactual Regret Minimization and Monte Carlo CFR☆71Updated 2 years ago
- Scalable Implementation of Deep CFR and Single Deep CFR☆279Updated 4 years ago
- Implementation of Pluribus by Noam Brown & Tuomas Sandholm, a Superhuman AI for 6-MAX No-Limit Holdem Poker Bot.☆215Updated 3 years ago
- Fast C++ poker hand evaluator and equity calculator☆177Updated 4 years ago
- This is an implementation of DeepStack for No Limit Texas Hold'em, extended from DeepStack-Leduc.☆25Updated 5 years ago
- DeeperStacker: DeepHoldem Evil Brother☆38Updated 4 years ago
- Implementation of Pluribus by Noam Brown & Tuomas Sandholm, introduced in the paper "Superhuman AI for multiplayer poker".☆14Updated 2 years ago
- Parsing the hand histories that poker AI Pluribus played☆76Updated 4 years ago
- GPUCFR is a parallel implementation of Counterfactual Regret Minimization (CFR) in C++ and CUDA C for NVIDIA GPUs.☆21Updated 3 years ago
- ☆17Updated 4 years ago
- Counterfactual regret minimization algorithm for Kuhn poker☆163Updated 5 years ago
- OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning☆161Updated 5 years ago
- An attempt to build the pluribus poker bot☆28Updated last year
- Framework for Multi-Agent Deep Reinforcement Learning in Poker☆416Updated last year
- Using counter factual regret minimization to computer optimal ranges of hands for each decision☆47Updated 3 years ago