Gym environments for NeuroMechFly in various physics simulators
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Updated
Jun 12, 2024 - Python
Gym environments for NeuroMechFly in various physics simulators
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
A model predictive controller for quadruped robots based on the single rigid body model and written in python. Gradient-based (acados) or Sampling-based (jax).
Provide a common API to many useful robotics libraries
Reinforcement learning algorithms for MuJoCo tasks
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
An elegant PyTorch deep reinforcement learning library.
[CoRL '23] Dexterous piano playing with deep reinforcement learning.
OpenDILab Decision AI Engine
Unified Reinforcement Learning Framework
Base Mujoco Gymnasium environment for easily controlling any robot arm with operational space control. Built with dm-control PyMJCF for easy configuration.
Python library for Reinforcement Learning.
A collection of robotics simulation environments for reinforcement learning
Simple kinematics calculation toolkit for robotics
MuJoCo fruit fly body model and reinforcement learning tasks
Reinforcement learning environments for planar robotics based on MuJoCo
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
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