policy
TelescopeReinforcementLearning
Faruman · PyTorch
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Overview
Name
TelescopeReinforcementLearning
Author
Faruman
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
This repository offers tools for training offline reinforcement learning (RL) models to enhance Adaptive Optics (AO) in astronomy, using the Soft Actor Critic (SAC) method and ensemble approaches. Performance is evaluated through simulations with various telescope datasets.
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 TelescopeReinforcementLearning yet.
Datasets that reference this policy
0No datasets reference TelescopeReinforcementLearning yet.