policy
dyna-maze
thehawkgriffith · PyTorch
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Overview
Name
dyna-maze
Author
thehawkgriffith
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
An agent designed by the dyna-Q approach of simultaneous Direct RL and Model Learning as described in the book "An Introduction to Reinforcement Learning, Sutton et al. 2018" The environment used is almost exactly the same as described in the book with the exception of a small negative living rewar
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 dyna-maze yet.
Datasets that reference this policy
0No datasets reference dyna-maze yet.