Deep Reinforcement Factorization Machines: A Deep Reinforcement Learning Model with Random Exploration Strategy and High Deployment Efficiency

Deep Reinforcement Factorization Machines: A Deep Reinforcement Learning Model with Random Exploration Strategy and High Deployment Efficiency

In recent years, the recommendation system and robot learning are undoubtedly the two most popular application fields, and the core algorithms supporting these two fields are deep learning based on perception and reinforcement learning based on exploration learning, respectively. How to combine thes...

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Bibliographic Details
Main Authors: Huaidong Yu, Jian Yin
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Applied Sciences
Subjects:
deep reinforcement learning
deployment efficiency
perception
factorization machine
random exploration
self-learning
Online Access:https://www.mdpi.com/2076-3417/12/11/5314

Internet

https://www.mdpi.com/2076-3417/12/11/5314

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