XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
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Updated
Jun 6, 2024 - Python
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
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).
Base Mujoco Gymnasium environment for easily controlling any robot arm with operational space control. Built with dm-control PyMJCF for easy configuration.
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
A collection of robotics simulation environments for reinforcement learning
Real-time behaviour synthesis with MuJoCo, using Predictive Control
Simple kinematics calculation toolkit for robotics
Gym environments for NeuroMechFly in various physics simulators
OpenDILab Decision AI Engine
MuJoCo fruit fly body model and reinforcement learning tasks
Reinforcement learning environments for planar robotics based on MuJoCo
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
The Simple Simulator: Simulation Made Simple
Python library for Reinforcement Learning.
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