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wanghuimu's Projects

multi-agent-reinforcement-learning-environment

Hello, I pushed some python environments for Multi Agent Reinforcement Learning.

multi-agent-rl

This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by Rethink Global Reward Game and Credit Assignment in Multi-agent Reinforcement Learning

multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

multiagent_gnn_policies

Learning multi-agent policies for flocking using graph neural networks

neural-mmo

Neural MMO - A Massively Multiagent Game Environment

noreward-rl

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

on-policy

This is the official implementation of Multi-Agent PPO.

open_spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pymarl

Beta code release for Python Multi-Agent Reinforcement Learning framework

pymarl2

Rethinking the Importance of Implementation Tricks in Multi-Agent Reinforcement Learning

pysc2

StarCraft II Learning Environment

pysc2-rl-agents

StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)

pytorch-a2c-ppo-acktr

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

pytorch-a3c

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

pytorch-maddpg

A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)

pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

ray

A system for parallel and distributed Python that unifies the ML ecosystem.

reagent

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.