policy
AI-Lunar-Lander
Acrazt03 · PyTorch
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Overview
Name
AI-Lunar-Lander
Author
Acrazt03
Framework
PyTorch
License
Apache-2.0
Skill type
locomotion
Evidence level
untested
Task description
A neural network is trained to land the Eagle lander on a virtual moon. It starts at an altitude of 80m at a random position and lands without crashing or running out of fuel. The model was trained using PPO and the ml-agents library and the enviorement was made on the Unity game engine.
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
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Datasets that reference this policy
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