Tiny Differentiable Simulator is a header-only C and CUDA physics library for reinforcement learning and robotics with zero dependencies.

Unitree Go2, Unitree G1 support for Nvidia Isaac Lab (Isaac Gym / Isaac Sim)

Fast and simple implementation of RL algorithms, designed to run fully on GPU.

Learn fundamental knowledge in robotics

Deep RL for MPC control of Quadruped Robot Locomotion

Mastering Diverse Domains through World Models

DayDreamer: World Models for Physical Robot Learning

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

SPEAR: A Simulator for Photorealistic Embodied AI Research

Isaac Gym Reinforcement Learning Environments

Training efficient drone controllers with Analytic Policy Gradient

Policy Search for Model Predictive Control with Application to Agile Drone Flight