janrvdolf / gpucfrLinks
GPUCFR is a parallel implementation of Counterfactual Regret Minimization (CFR) in C++ and CUDA C for NVIDIA GPUs.
☆24Updated 2 months ago
Alternatives and similar repositories for gpucfr
Users that are interested in gpucfr are comparing it to the libraries listed below
Sorting:
- Implementations of CFR for solving a variety of Holdem-like poker games☆160Updated last year
- A NLTH Poker Agent using Counterfactual Regret Minimization☆51Updated 5 years ago
- ☆73Updated last year
- An attempt at a Python implementation of Pluribus, a No-Limits Hold'em Poker Bot☆104Updated 4 years ago
- An open implementation of Pure CFR applied to ACPC poker games.☆206Updated 8 years ago
- ☆28Updated 3 years ago
- Scalable Implementation of Deep CFR and Single Deep CFR☆303Updated 5 years ago
- k-means clustering for poker hands based on earth mover's distance (EMD)☆17Updated 5 years ago
- ☆217Updated 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
- C++ implementations of Counterfactual Regret Minimization and Monte Carlo CFR☆75Updated 3 years ago
- Python implementation of Deepstack☆85Updated 5 years ago
- A C library for indexing poker hands that respects suit isomorphisms☆71Updated 11 years ago
- poker ai☆30Updated 3 years ago
- Framework for Multi-Agent Deep Reinforcement Learning in Poker☆478Updated 2 years ago
- ☆74Updated last year
- ☆33Updated 5 years ago
- A poker AI for NL Texas Holdem trained using Monte-Carlo Counterfactual Regret Minimization.☆104Updated 3 years ago
- ☆34Updated 6 years ago
- Counterfactual regret minimization algorithm for Kuhn poker☆175Updated 6 years ago
- Rails application that allows humans to play poker matches managed by the Annual Computer Poker Competition's Dealer program in a web GUI…☆58Updated 8 years ago
- A python implementation of Counterfactual Regret Minimization for poker☆288Updated 10 years ago
- Implementation of Pluribus by Noam Brown & Tuomas Sandholm, a Superhuman AI for 6-MAX No-Limit Holdem Poker Bot.☆233Updated 4 years ago
- OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning☆165Updated 5 years ago
- Scalable Implementation of Neural Fictitous Self-Play☆83Updated 6 years ago
- This is an implementation of DeepStack for No Limit Texas Hold'em, extended from DeepStack-Leduc.☆26Updated 6 years ago
- ☆17Updated 5 years ago
- DeeperStacker: DeepHoldem Evil Brother☆38Updated 4 years ago
- Parsing the hand histories that poker AI Pluribus played☆80Updated 5 years ago
- Potential-Aware Imperfect-Recall Abstraction with Earth Mover’s Distance in Imperfect-Information Games☆16Updated 6 years ago