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Offline-RL-METABRIC-Dataset
thejasramappa · PyTorch
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Overview
Name
Offline-RL-METABRIC-Dataset
Author
thejasramappa
Framework
PyTorch
License
MIT
Skill type
manipulation
Evidence level
untested
Task description
Offline-RL-METABRIC-Dataset applies Offline Reinforcement Learning using the METABRIC breast cancer dataset to optimize treatment strategies. Implements Conservative Q-Learning (CQL) with d3rlpy, modeling clinical features as states, treatments as actions, and survival outcomes as rewards for better
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
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Datasets that reference this policy
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