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

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

RL Reach is a platform for running reproducible reinforcement learning experiments.

Pytorch implementations of various Deep Reinforcement Learning algorithms on pybullet environments.

PyBullet keyboard shortcut/ hotkeys list

This is a quadruped simulated on pybullet physics engine, walking using trot and bound mechanisms

This is a Biped simulated on pybullet physics engine, walking

Implementation of Trust Region Policy Optimization and Proximal Policy Optimization algorithms on the objective of Robot Walk.

Tutorial for Pybullet

ME 604- Robotics Project (IIT Bombay) Kuka Robot

HermiSim is a robotics simulation suite for loading URDF/XML files, rendering 3D environments, and running physics-based simulations with PyBullet. It features 3D visualization, sensor data simulation, and full control over simulations. Built with PyQt and modular in design, it’s ideal for robotics development and testing.