policy
dqn-lunar-lander
takud1 · PyTorch
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Overview
Name
dqn-lunar-lander
Author
takud1
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
A Deep Q-Network reinforcement learning model trained to safely land a lunar lander in the Farama Gymnasium
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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