andyliu42 / Counterfactual_Regret_Minimization_PythonLinks
Counterfactual Regret Minimization (CFR) sample code in Python
☆14Updated 6 years ago
Alternatives and similar repositories for Counterfactual_Regret_Minimization_Python
Users that are interested in Counterfactual_Regret_Minimization_Python are comparing it to the libraries listed below
Sorting:
- Monte Carlo Conterfactual Regret Minimization for imperfect information games☆13Updated 6 years ago
- Scalable Implementation of Neural Fictitous Self-Play☆85Updated 7 years ago
- A game theory framework with examples and algorithms☆73Updated 6 years ago
- Counterfactual regret minimization algorithm for Kuhn poker☆181Updated 6 years ago
- An implementation of popular Inverse Reinforcement Learning algorithms for various tasks.☆21Updated 8 years ago
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆30Updated 7 years ago
- Fictitious Self-play & Reinforcement Learning☆18Updated 8 years ago
- Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advanta…☆195Updated last year
- Scalable implementation of DREAM - Deep RL for multi-agent imperfect information games☆119Updated last year
- Simple implementation of regret matching algorithm for RPS nash equilibrium computation via self-play☆26Updated 7 years ago
- Code release for Learning with Opponent-Learning Awareness and variations.☆151Updated 2 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆225Updated 2 years ago
- Multi-Agent RL Environment for the Stratego Board Game (and variants)☆34Updated 4 months ago
- Counterfactual Regret Minimization for poker games☆21Updated 6 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 7 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆358Updated 6 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆178Updated 3 years ago
- Hierarchical Self-Play☆21Updated 7 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 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,…☆35Updated 7 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 5 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆62Updated 6 years ago
- Scalable Implementation of Deep CFR and Single Deep CFR☆314Updated 5 years ago
- Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym☆178Updated 7 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆249Updated 5 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆120Updated last year
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆103Updated 11 months ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- Inverse Reinforcement Learning Argorithms☆53Updated 6 years ago
- Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília☆68Updated 7 years ago