Popular GitHub Repositories for Drl

An elegant PyTorch deep reinforcement learning library.

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...

Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper

Ape-X DQN & DDPG with pytorch & tensorboard

This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.

Provide full reinforcement learning benchmark on mujoco environments, including ddpg, sac, td3, pg, a2c, ppo, library

Deep reinforcement learning to perform shape optimization

A gallery for reinforcement learning, including frameworks, tutorials, papers, implementations, applications, etc.

Solutions to the Deep RL Bootcamp labs

Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones

Deep Reinforcement Learning for Flight Control

深度学习脚手架

Implementation of Deep Reinforcement Learning algorithms in the Unity game engine.

A ROS2-based framework for TurtleBot3-like DRL autonomous navigation

Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).

Using deep reinforcement learning to play Snake game. The used algorithm is PPO for discrete! It has the brilliant performance in the field of discrete action space just like in continuous action space. You just need half an hour to train the snake and then it can be as smart as you.|使用深度强化学习玩蛇游戏。 使用的算法是离散的 PPO！ 它在离散动作空间领域有着与连续动作空间一样的出色表现。