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Chen Liheng's Projects

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

commnet icon commnet

Neural network model, suitable for multi-agent learning. https://arxiv.org/abs/1605.07736

elf icon elf

An End-To-End, Lightweight and Flexible Platform for Game Research

graphgan icon graphgan

A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

hfo icon hfo

Half Field Offense in Robocup 2D Soccer

infogan icon infogan

Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

maac icon maac

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

magent icon magent

A Platform for Many-agent Reinforcement Learning

malib icon malib

A Multi-agent Learning Framework

maven icon maven

Submission for MAVEN: Multi-Agent Variational Exploration

mazebase icon mazebase

Simple environment for creating very simple 2D games and training neural network models to perform tasks within them

multiagent-particle-envs icon multiagent-particle-envs

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

noreward-rl icon noreward-rl

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

open_spiel icon open_spiel

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

pymarl icon pymarl

Beta code release for Python Multi-Agent Reinforcement Learning framework

pysc2 icon pysc2

StarCraft II Learning Environment

pysc2-rl-agent icon pysc2-rl-agent

DRL Agent For PySC2 Environment. Close replication of DeepMind's SC2LE paper architecture.

pytorch-a3c icon pytorch-a3c

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

ray icon ray

A fast and simple framework for building and running distributed applications.

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