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Tianshou ⭐ 7,125

An elegant PyTorch deep reinforcement learning library.

Deep Reinforcement Learning With Pytorch ⭐ 2,741

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Modular_rl ⭐ 523

Implementation of TRPO and related algorithms

Reinforcement Learning Algorithms ⭐ 407

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

Reinforcement Implementation ⭐ 380

Implementation of benchmark RL algorithms

Reinforcement Learning Algorithms With Python ⭐ 152

Reinforcement Learning Algorithms with Python, Published by Packt

Torchrl ⭐ 127

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

Deeprl_algorithms ⭐ 112

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

Ros2learn ⭐ 98

ROS 2 enabled Machine Learning algorithms

Rl Experiments ⭐ 47

High-quality implementations of deep reinforcement learning algorithms for experiments

A pack of reinforcement learning algorithms.

Code implementing the CORE-RL algorithm with DDPG, PPO, and TRPO. See the paper "Control Regularization for Reduced Variance Reinforcement Learning" for additional details.

Simple Reinforcement Learning Framework

Reinforcement Learning Code ⭐ 20

A repository for codes of reinforcement learning algorithms with PyTorch

Simple and self-contained TensorFlow implementation of reinforcement learning algorithms for continuous control, integrated with OpenAI Gym and other physics engines.

Cassierl ⭐ 10

Reinforcement learning algorithms for Oregon State University's bipedal robot, Cassie

Rl Botics ⭐ 10

Deep Reinforcement Learning Toolbox for Robotics using Keras and TensorFlow

Deep Reinforcement Learning With Pytorch ⭐ 8

Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO

Rl Framework ⭐ 8

Framework of Reinforcement Learning algorithms for AILab, Peking University

Implementation of the MEPOL algorithm - A policy gradient method for task-agnostic exploration

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