tansey / td_cfr
An implementation of Counterfactual Regret Minimization (CFR) via Temporal Difference (TD) learning
☆22Updated 11 years ago
Alternatives and similar repositories for td_cfr:
Users that are interested in td_cfr are comparing it to the libraries listed below
- ☆30Updated 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
- Counterfactual regret minimization algorithm for Kuhn poker☆170Updated 6 years ago
- A python implementation of Counterfactual Regret Minimization for poker☆283Updated 10 years ago
- coms4995 Final Project Poker AI☆72Updated 6 years ago
- A RNN PokerBot implementing DeepStack strategies☆56Updated 7 years ago
- Using a paper from Google DeepMind I've developed a new version of the DQN using threads exploration instead of memory replay as explain …☆84Updated 9 years ago
- ☆24Updated 6 years ago
- Monte Carlo Conterfactual Regret Minimization for imperfect information games☆13Updated 6 years ago
- An open implementation of Pure CFR applied to ACPC poker games.☆205Updated 8 years ago
- Python implementation of Deepstack☆83Updated 5 years ago
- Implemented the CFR+ and PureCFR algorithms in Python to find the optimal strategies to 2-player extensive-form games, which was also use…☆21Updated 5 years ago
- Using counter factual regret minimization to computer optimal ranges of hands for each decision☆48Updated 4 years ago
- Scalable Implementation of Neural Fictitous Self-Play☆75Updated 6 years ago
- Series Algorithms of Deep Reinforcement Learning, such as DQN, DDQN, one-step-DQN, DDPG, etc☆43Updated 8 years ago
- A NLTH Poker Agent using Counterfactual Regret Minimization☆51Updated 5 years ago
- Potential-Aware Imperfect-Recall Abstraction with Earth Mover’s Distance in Imperfect-Information Games☆16Updated 6 years ago
- Implementation for ICML 16 paper "Deep reinforcement learning with opponent modeling"☆70Updated 8 years ago
- A library to implement counterfactual regret minimization on various abstract strategy games☆17Updated 2 months ago
- Rails application that allows humans to play poker matches managed by the Annual Computer Poker Competition's Dealer program in a web GUI…☆59Updated 8 years ago
- A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)☆56Updated 7 years ago
- Counterfactual Regret Minimization for poker games☆21Updated 5 years ago
- Counterfactual Regret Minimization☆29Updated 6 years ago
- Implementations of deep RL papers and random experimentation☆176Updated 6 years ago
- A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well☆92Updated 7 years ago
- Collection of reinforcement learners implemented in python. Mainly including DQN and its variants☆54Updated 7 years ago
- Convolution neural network... for draw video poker. Perhaps, we learn something useful for other poker, too.☆108Updated 9 years ago
- ☆16Updated 6 months ago
- An attempt at a Python implementation of Pluribus, a No-Limits Hold'em Poker Bot☆102Updated 4 years ago
- ☆215Updated 6 years ago