policy
icu-treatment-sequencer-rl
Motssembillahmahin · PyTorch
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Overview
Name
icu-treatment-sequencer-rl
Author
Motssembillahmahin
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
An offline-to-online Reinforcement Learning system that learns optimal ICU intervention sequences (medications, ventilator settings, vasopressors) from simulated patient vitals. Built with safety-constrained RL, sparse reward shaping, and a custom Gymnasium environment modeling realistic patient det
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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