policy
thesis-eda
berkbahcetepe6 · PyTorch
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Overview
Name
thesis-eda
Author
berkbahcetepe6
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
MSc thesis: ROAS optimization via a dual-agent Multi-Agent System (MAS) combining supervised creative performance modeling (CTR/CVR prediction) and offline RL/bandit-based bidding optimization using Criteo 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 thesis-eda yet.
Datasets that reference this policy
0No datasets reference thesis-eda yet.