policy
game-advisor
Merligus · PyTorch
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Overview
Name
game-advisor
Author
Merligus
Framework
PyTorch
License
MIT
Skill type
other
Evidence level
untested
Task description
Project that trains an offline RL model policy to suggest a game to the user. It uses DQN CQL with several game datasets.
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 game-advisor yet.
Datasets that reference this policy
0No datasets reference game-advisor yet.