policy

Deep_Reinforcement_learning_based_service_recomendation

ShreyaSari · PyTorch

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Overview

Name
Deep_Reinforcement_learning_based_service_recomendation
Author
ShreyaSari
Framework
PyTorch
License
MIT
Skill type
other
Evidence level
untested
Task description
A Multi-Agent Deep Reinforcement Learning (MARL) based system that recommends research papers based on user-selected categories. Multiple DQN-trained agents collaboratively learn optimal policies to suggest relevant and diverse papers tailored to user preferences.

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 yet

Compatible environments

0

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Datasets that reference this policy

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