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mujoco locomotion rl · ajmcastro

使用PPO和域随机化的MuJoCo运动RL实验。

continuous-controldeep-reinforcement-learningdomain-randomizationhumanoid-roboticsmujoco
发布者存储库 ↗
mujoco locomotion rl · ajmcastro 资源页面截图
资源截图·抓获 2026-10-08 ·目视审查

概述

MuJoCo locomotion RL experiments with PPO and domain randomization.<br><br>Publisher summary:“Physical AI through deep reinforcement learning — training robust locomotion policies in MuJoCo with PPO, domain randomization, and sim-to-real techniques.”<br><br>Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.

项目信息

维护者
ajmcastro
主要语言
Python
存储库代码许可证
MIT
模型重量许可证
未记录
数据集许可
未记录
硬件设计许可证
未记录
维护
未存档在最后记录的元数据中
最后观察到的存储库推送
2026-09-01

代码许可不会自动涵盖模型权重、数据集或硬件设计。未记录的许可证详细信息需要与发布者确认。

文档部分

  • MuJoCo Locomotion Reinforcement Learning Experiments
  • What you will learn
  • Stack
  • Prerequisites
  • Setup
  • Usage

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