policy
hopper_sim2real
stefbarcio · PyTorch
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Overview
Name
hopper_sim2real
Author
stefbarcio
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
This project demonstrates the application of Reinforcement Learning (RL) algorithms to control the Hopper environment from the MuJoCo physics simulator. The primary objective is to train an RL agent to learn how to make the simulated hopper move forward efficiently by learning to balance and hop on
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 hopper_sim2real yet.
Datasets that reference this policy
0No datasets reference hopper_sim2real yet.