Real-time behaviour synthesis with MuJoCo, using Predictive Control
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Updated
Mar 4, 2025 - C++
Real-time behaviour synthesis with MuJoCo, using Predictive Control
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
The Fastest Deep Reinforcement Learning Library
ROS2-Control implementations for Quadruped robots, include sim2real
A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)
Wrappers, tools and additional API's for using ROS with MuJoCo
Simulator of UR5 robotic arm with Robotiq gripper, built with MuJoCo
Unreal plugin for robot visualisation using ROS connecting with WebSockets.
Walkthroughs for DSL, AirSim, the Vector Institute, and more
Iterative LQG for a couple of MuJoCo models
Blocks for accessing MuJoCo physics engine within Simulink
A Contact-Implicit Trajectory Optimization Package
Deep Developmental Reinforcement Learning
Plugin to simulate tactile sensors in MuJoCo
A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
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