There are 5 repositories under drl topic.
OpenDILab Decision AI Engine
Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
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 (DRL) agents applied to medical images
Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper
Provide full reinforcement learning benchmark on mujoco environments, including ddpg, sac, td3, pg, a2c, ppo, library
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.
Deep reinforcement learning to perform shape optimization
A gallery for reinforcement learning, including frameworks, tutorials, papers, implementations, applications, etc.
Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.
Solutions to the Deep RL Bootcamp labs
Simulation code and mathematic details of our paper in IEEE Communications Magazine: ''When the User-Centric Network Meets Mobile Edge Computing: Challenges and Optimization''
Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones
Atari-DRQN (keras ver.)
A collection of Deep Reinforcement Learning algorithms implemented in tensorflow. Very extensible. High performing DQN implementation.
A customized grid map-based navigation simulation platform following the Gym API.
Deep Reinforcement Learning for Flight Control
DRL models for graph partitioning and sparse matrix ordering.
Implementation of Deep Reinforcement Learning algorithms in the Unity game engine.
深度学习脚手架
Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).
Rosnav planner, based on DRL and designed to work with ROS and the whole arena-rosnav infrastructure.
Not interactive deep reinforcement learning book with no-framework code, copied math, no discussions. Adopted at only -1 university(Shanhe University, SHU). BTW, I like this virtual university, which english abbreviation happens to be the pinyin of one part of my Chinese name(Cai "Shu"qi).
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。