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quadrupeds locomotion · Argo-Robot
使用强化学习的四足动物运动的指南和工作流程。
概述
A guide and workflows for quadruped locomotion with reinforcement learning.<br><br>Publisher summary:“Learn how to train a quadruped robot to walk using reinforcement learning, from defining actions and observations to designing rewards and transitioning from simulation…”<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
- Argo-Robot
- 主要语言
- Python
- 存储库代码许可证
- AGPL-3.0
- 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
- 2025-02-26
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
- Making Quadrupeds Learning to Walk:From Zero to Hero
- 1. Problem Overview
- 2. Ingredients and RL Framework
- 3. Learning to Walk
- 3.1 Actions
- 3.2 Observations