An elegant PyTorch deep reinforcement learning library.

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

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

Repository for codes of 'Deep Reinforcement Learning'

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.

A Trading environment base on Gym

Deep reinforcement learning to perform shape optimization

Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.

Machine learning library, Distributed training, Deep learning, Reinforcement learning, Models, TensorFlow, PyTorch