policy

isaaclab-anymal-locomotion

MarGo-20 · IsaacLab

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Overview

Name
isaaclab-anymal-locomotion
Author
MarGo-20
Framework
IsaacLab
License
MIT
Skill type
locomotion
Evidence level
untested
Task description
🐾 Implement Proximal Policy Optimization (PPO) for quadruped locomotion, achieving 96% performance of RSL-RL with a custom solution for enhanced robot control.

Spaces

Action space
other · 0-dim · 0Hz
Observation space
  • type: other

Links

HuggingFace repo
null
Paper (arXiv)
null

Compatible robots

20

Compatible environments

0

No environments list isaaclab-anymal-locomotion yet.

Datasets that reference this policy

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