policy
model-based-RL-adaptive-planning-uncertainty
elliotnelson · PyTorch
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Overview
Name
model-based-RL-adaptive-planning-uncertainty
Author
elliotnelson
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
This project aims to train an RL agent to plan adaptively with a perfect model by using its observations to evaluate its model's quality locally when making and using predictions in different regions of state space.
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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