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

Repository for codes of 'Deep Reinforcement Learning'

Deep Reinforcement Learning for mobile robot navigation in IR-SIM simulation. Using DRL (SAC, TD3, PPO, DDPG) neural networks, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

Deep Reinforcement Learning (DRL) agents applied to medical images

Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper

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

Ape-X DQN & DDPG with pytorch & tensorboard

A Trading environment base on Gym

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

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.

Evaluation 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

Solutions to the Deep RL Bootcamp labs