A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

Python library for Reinforcement Learning.

Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

Long-Term Evolution Project of Reinforcement Learning

PDDLStream: Integrating Symbolic Planners and Blackbox Samplers

Generating Robotic Simulation Tasks via Large Language Models

Train deep reinforcement learning model for robotics grasping. Choose from different perception layers raw Depth, RGBD and autoencoder. Test the learned models in different scenes and object datasets

A gym environment for a miniature racecar using the pybullet physics engine.

Codebase for the BestMan Mobile Manipulator Platform

Suite of PyBullet reinforcement learning environments targeted towards using tactile data as the main form of observation.

A suite of utility functions to facilitate robotic planning related research on the pybullet physics simulation engine.

UAV Flight Simulator for Reinforcement Learning Research

Robotic fabrication package for the COMPAS Framework.

A bridge between ROS and PyBullet