mujoco

31 projetos partilham este topic do GitHub

mujoco — mujoco ★14.4kmujocodm_control — ★4.7kpytorch-a2c-ppo-acktr-gail — ★3.9kmujoco_menagerie — ★3.8kDI-engine — ★3.6kopenarm — ★2.8kmjlab — ★2.7kenvpool — ★1.5kLearningHumanoidWalking — ★1.2kxuance — ★1.1krl-tools — ★1kGymnasium-Robotics — ★949mushroom-rl — ★939UniLab — ★850openrl — ★839MuJoCo_RL_UR5 — ★681robohive — ★630pytorch_sac — ★600onshape-to-robot — ★586flybody — ★530UnrealRoboticsLab — ★493Quadruped-PyMPC — ★493mjrl — ★467pytorch-rl — ★453pytorch-trpo — ★448drq — ★423lagom — ★378obj2mjcf — ★369trpo — ★364MuJoCo-Tutorial — ★361mjswan — ★308dm_control★ 4.7kpytorch-a2c-ppo-acktr-ga…★ 3.9kmujoco_menagerie★ 3.8kDI-engine★ 3.6kopenarm★ 2.8kmjlab★ 2.7kenvpool★ 1.5kLearningHumanoidWalking★ 1.2kxuance★ 1.1krl-tools★ 1kGymnasium-Robotics★ 949mushroom-rl★ 939UniLab★ 850openrl★ 839MuJoCo_RL_UR5★ 681robohive★ 630pytorch_sac★ 600onshape-to-robot★ 586flybody★ 530UnrealRoboticsLab★ 493Quadruped-PyMPC★ 493mjrl★ 467pytorch-rl★ 453pytorch-trpo★ 448drq★ 423lagom★ 378obj2mjcf★ 369trpo★ 364MuJoCo-Tutorial★ 361mjswan★ 308

Linhas conectam membros que estão mensuravelmente relacionados entre si. O tamanho do ponto reflete estrelas.

🧬 Membros
mujoco
Multi-Joint dynamics with Contact. A general purpose physics simulator.
★ 14.4k
dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using…
★ 4.7k
pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable…
★ 3.9k
mujoco_menagerie
A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
★ 3.8k
DI-engine
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
★ 3.6k
openarm
A fully open-source humanoid arm for physical AI research and deployment in contact-rich environments.
★ 2.8k
mjlab
Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research
★ 2.7k
envpool
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
★ 1.5k
LearningHumanoidWalking
Training a humanoid robot for locomotion using Reinforcement Learning
★ 1.2k
xuance
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
★ 1.1k
rl-tools
The Fastest Deep Reinforcement Learning Library
★ 1k
Gymnasium-Robotics
A collection of robotics simulation environments for reinforcement learning
★ 949
mushroom-rl
Python library for Reinforcement Learning.
★ 939
UniLab
UniLab: A Heterogeneous Architecture for Robot RL Beyond GPU-Dominant Paradigms
★ 850
openrl
Unified Reinforcement Learning Framework
★ 839
MuJoCo_RL_UR5
A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this…
★ 681
robohive
A unified framework for robot learning
★ 630
pytorch_sac
PyTorch implementation of Soft Actor-Critic (SAC)
★ 600
onshape-to-robot
Converting Onshape assembly to robot definition (URDF, SDF, MuJoCo) through Onshape API
★ 586
flybody
MuJoCo fruit fly body model and locomotion RL tasks
★ 530
UnrealRoboticsLab
A high-fidelity, open-source robotics simulator integrating Unreal Engine's photorealistic rendering with…
★ 493
Quadruped-PyMPC
A model predictive controller for quadruped robots based on the single rigid body model and written in…
★ 493
mjrl
Reinforcement learning algorithms for MuJoCo tasks
★ 467
pytorch-rl
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
★ 453
pytorch-trpo
PyTorch implementation of Trust Region Policy Optimization
★ 448
drq
DrQ: Data regularized Q
★ 423
lagom
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
★ 378
obj2mjcf
A CLI for processing composite Wavefront OBJ files for use in MuJoCo.
★ 369
trpo
Trust Region Policy Optimization with TensorFlow and OpenAI Gym
★ 364
MuJoCo-Tutorial
Tutorial on how to get started with MuJoCo Simulation Platform. MuJoCo stands for Multi-Joint dynamics with…
★ 361
mjswan
MuJoco Simulation on Web Assembly with Neural netwroks
★ 308
🔗 Familias relacionadas

Medido a partir dos tópicos do GitHub compartilhados por ambos os projetos, ponderado pela raridade de cada tópico.