policy
Imitation4HumanGait
felipe-parodi · PyTorch
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Overview
Name
Imitation4HumanGait
Author
felipe-parodi
Framework
PyTorch
License
MIT
Skill type
locomotion
Evidence level
untested
Task description
DR-IL-Gait: an exploration of using imitation learning to train an agent to learn human gait in a more naturalistic manner than popular reinforcement learning agents. Contains code for trained models, final report, and relevant documentation. Licensed under MIT.
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
3+17 mentioned but not in catalog yetCompatible environments
0No environments list Imitation4HumanGait yet.
Datasets that reference this policy
0No datasets reference Imitation4HumanGait yet.