policy
MLModelSelector
ErNikki · PyTorch
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Overview
Name
MLModelSelector
Author
ErNikki
Framework
PyTorch
License
unknown
Skill type
manipulation
Evidence level
untested
Task description
Use of reinforcement learning algorithms, such as double q learning and policy gradient, through which an agent can be trained to orchestrate machine learning models.
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 MLModelSelector yet.
Datasets that reference this policy
0No datasets reference MLModelSelector yet.