A toolkit for developing and comparing reinforcement learning algorithms.

Python sample codes and textbook for robotics algorithms.

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

An educational resource to help anyone learn deep reinforcement learning.

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

PyTorch implementations of deep reinforcement learning algorithms and environments

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

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

A library of reinforcement learning components and agents

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

Collection of reinforcement learning algorithms

Data Structures and Algorithms in Python

Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer https://arxiv.org/abs/2404.05695

PFRL: a PyTorch-based deep reinforcement learning library

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

PyTorch implementation of soft actor critic

robotic motion planning library

3D transformations for Python.

A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)

PyTorch Implementation of MADDPG (Lowe et. al. 2017)

A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.

Reinforcement Learning Algorithms Based on PyTorch

PyTorch implementation of Trust Region Policy Optimization

Educational Python library for manipulator motion planning

Assistive Gym, a physics-based simulation framework for physical human-robot interaction and robotic assistance.

Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL

Minimal, clean, single-file implementations of common robotics controllers in MuJoCo.

Implementation of algorithms for continuous control (DDPG and NAF).

Multitask Environments for RL