An environment based on JSBSIM aimed at one-to-one close air combat.

An extension of the PyMARL codebase that includes additional algorithms and environment support

The repository is for safe reinforcement learning baselines.

Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms

Reinforcement learning framework to accelerate research

Lightweight, stable, efficient PyTorch implement of reinforcement learning. I want to call this PyTorch implement as "3-Python-file-RL".

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

Hands-on Deep Reinforcement Learning, published by Packt

SMAC: The StarCraft Multi-Agent Challenge

Python Multi-Agent Reinforcement Learning framework

Code for Weighted QMIX

Code for the paper "Exploration by Random Network Distillation"

Unity Machine Learning Agents Toolkit

simple code to reinforcement learning

Python wrapper for the arXiv API

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

Implementation of benchmark RL algorithms

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

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning libr…

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

An educational resource to help anyone learn deep reinforcement learning.

This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Globa…

PyTorch implementations of deep reinforcement learning algorithms and environments

Modularized Implementation of Deep RL Algorithms in PyTorch

Papers with code. Sorted by stars. Updated weekly.

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