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a-introduction-to-reinforcement-learning

RL library based on algorithms from the book <A-introduction-to-reinforcement-learning>

airsim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

ardupilot

ArduPlane, ArduCopter, ArduRover, ArduSub source

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

collaq

A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deeprl

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

drqn-tensorflow

Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro

ego-planner-swarm

feudal_networks

An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161

huaweibishi

jianzhioffer

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

maddpg-pytorch

PyTorch Implementation of MADDPG (Lowe et. al. 2017)

maddpg-rllib

MADDPG in Ray/RLlib

maddpg_ros

Combine MADDPG and ROS.

magent_new

A maintained fork of the MAgent Multi-Agent RL Library

multi_agent_ddpg

Collaboration and Competition via MADDPG: Unity ML-Agents Environments, PyTorch

multiagent-particle-envs

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

pg-is-all-you-need

Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

pymarl

Python Multi-Agent Reinforcement Learning framework

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

reiforcementlearningkeys

《强化学习精要》配套代码

reinforcement-implementation

Implementation of benchmark RL algorithms

reinforcement-learning

Reinforcement Learning Information Sharing

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

rmaddpg

ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings

smac

SMAC: The StarCraft Multi-Agent Challenge

starcraft

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

super-mario-bros-a3c-pytorch

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros