policy
Sparse-Reward-RL-Metacontroller
SoanKim · PyTorch
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Overview
Name
Sparse-Reward-RL-Metacontroller
Author
SoanKim
Framework
PyTorch
License
MIT
Skill type
other
Evidence level
untested
Task description
A dual-process RL framework modeling human reasoning. Arbitrates between MCTS and heuristics to optimize cognitive effort in sparse-reward environments. Validated against human behavioral datasets.
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
2+18 mentioned but not in catalog yetCompatible environments
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Datasets that reference this policy
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