Implementation of Soft Actor-Critic with Hindsight Experience Replay

Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.

Implementation of HindSight Experience Replay paper with Pytorch

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

Robot arm control using reinforcement learning algorithms : DDPG and TD3 with hindsight experience replay (HER)

My DRL library with tensorflow1.14 based on openai spinning-up

An elegant PyTorch deep reinforcement learning library.

Motion Planning of Space Manipulator for Capturing a Tumbling Non-cooperative Target using Reinforcement Learnin

Multi Agent Determinisitc Deep Policy Gradients run on OpenAI Robot Arms Environments

An implementation of deep reinforcement learning TD3 algorithm with prioritized experience replay (PER) buffer

Author's PyTorch implementation of TD3 for OpenAI gym tasks

DRLib：a Concise Deep Reinforcement Learning Library, Integrating HER, PER and D2SR for Almost Off-Policy RL Algorithms.

Transfer Learning in RL to improve sample efficiency

Transfer learning in deep reinforcement learning for continuous control. Implemented DDPG and TD3 algorithms and evaluated ability to adapt to changes in environment dynamics and new environments

Implement reinforcement learning algorithms in Pytorch

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

https://hrl.boyuai.com/

kinds of reinforcement learning model by Pytorch

reinforcement learning algorithm for mapless navigation

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Dual UR5 Husky Robot MuJoCo Model

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

Comparing Popular Simulation Environments in the Scope of Robotics and Reinforcement Learning

Industrial robot path planning using deep reinforcement learning

This is the repository of Robotic Arm Motion Planning Simulation Based on Reinforcement Learning.

Asynchronous Reinforcement Learning for UR5 Robotic Arm

A collection of robotics simulation environments for reinforcement learning

4 direct numerical methods of solving optimal control.

This is a User-Friendly Software Based on Legendre-Gauss-Radau Pseudo Spectral Method in Python to Solve Model Predictive Control Problems