wolo-research / bulldog
poker ai
☆30Updated 3 years ago
Alternatives and similar repositories for bulldog:
Users that are interested in bulldog are comparing it to the libraries listed below
- An attempt at a Python implementation of Pluribus, a No-Limits Hold'em Poker Bot☆102Updated 4 years ago
- Implementations of CFR for solving a variety of Holdem-like poker games☆150Updated last year
- ☆69Updated last year
- ☆28Updated 3 years ago
- ☆33Updated 5 years ago
- A NLTH Poker Agent using Counterfactual Regret Minimization☆51Updated 5 years ago
- Python implementation of Deepstack☆82Updated 5 years ago
- ☆70Updated 9 months ago
- k-means clustering for poker hands based on earth mover's distance (EMD)☆15Updated 5 years ago
- ☆32Updated 4 years ago
- ☆215Updated 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,…☆34Updated 6 years ago
- An open implementation of Pure CFR applied to ACPC poker games.☆205Updated 8 years ago
- Potential-Aware Imperfect-Recall Abstraction with Earth Mover’s Distance in Imperfect-Information Games☆16Updated 6 years ago
- Implementation of Pluribus by Noam Brown & Tuomas Sandholm, a Superhuman AI for 6-MAX No-Limit Holdem Poker Bot.☆230Updated 3 years ago
- C++ implementations of Counterfactual Regret Minimization and Monte Carlo CFR☆74Updated 2 years ago
- A C library for indexing poker hands that respects suit isomorphisms☆68Updated 10 years ago
- Scalable Implementation of Deep CFR and Single Deep CFR☆291Updated 4 years ago
- Framework for Multi-Agent Deep Reinforcement Learning in Poker☆449Updated last year
- A poker AI for NL Texas Holdem trained using Monte-Carlo Counterfactual Regret Minimization.☆96Updated 3 years ago
- ☆16Updated 6 months ago
- Counterfactual regret minimization algorithm for Kuhn poker☆170Updated 6 years ago
- GPUCFR is a parallel implementation of Counterfactual Regret Minimization (CFR) in C++ and CUDA C for NVIDIA GPUs.☆22Updated 4 years ago
- ☆18Updated 5 years ago
- This is an implementation of DeepStack for No Limit Texas Hold'em, extended from DeepStack-Leduc.☆26Updated 5 years ago
- Using counter factual regret minimization to computer optimal ranges of hands for each decision☆48Updated 4 years ago
- AI algorithm for playing texas holdem poker☆17Updated 10 months ago
- A RNN PokerBot implementing DeepStack strategies☆56Updated 7 years ago
- A python implementation of Counterfactual Regret Minimization for poker☆283Updated 10 years ago
- 🤖 An Open Source Texas Hold'em AI☆297Updated last year