Showing 1-19 of 19 projects
A general-purpose physics simulator for robotics and dynamic simulation.
An elegant PyTorch deep reinforcement learning library for vibe coders building AI-powered applications.
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments using MuJoCo.
PyTorch implementation of popular reinforcement learning algorithms like A2C, PPO, ACKTR and GAIL for developers.
Comprehensive reinforcement learning framework for building AI agents and distributed systems
A Python wrapper for the MuJoCo physics engine, enabling detailed rigid body simulations with contacts.
A curated collection of high-quality models for the MuJoCo physics engine, useful for robotics and AI research.
An open-source humanoid arm for physical AI research and deployment in contact-rich environments.
Isaac Lab API, powered by MuJoCo-Warp, for reinforcement learning and robotics simulation research.
An open-source library for GPU-accelerated robot learning and sim-to-real transfer.
A collection of robotics environments for benchmarking multi-task and meta reinforcement learning.
A C++ library for real-time behavior synthesis using the MuJoCo physics simulation engine and model predictive control.
An imitation learning benchmark for complex locomotion tasks using the MuJoCo physics simulation engine.
A high-performance parallel environment execution engine for reinforcement learning environments.
A Python library for solving inverse kinematics using the MuJoCo physics simulation engine.
MyoSuite is a collection of environments/tasks for musculoskeletal models simulated with MuJoCo and wrapped in OpenAI gym.
A GPU-optimized version of the MuJoCo physics simulator designed for NVIDIA hardware.
A Python library for training a humanoid robot to walk using reinforcement learning.
XuanCe is a comprehensive and unified deep reinforcement learning library for a variety of environments and tasks.
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