Inter-Cell Slicing Resource Partitioning via Coordinated Multi-Agent Deep Reinforcement Learning

Author:

Hu Tianlun1,Liao Qi1,Liu Qiang2,Wellington Dan3,Carle Georg4

Affiliation:

1. Nokia Bell Labs,Stuttgart,Germany,Germany

2. University of Nebraska-Lincoln,School of Computing,United States

3. Nokia Software,Bellevue,United States

4. Technical University of Munich,Dept. of Informatics,Germany

Funder

Ministry of Education

Publisher

IEEE

Reference19 articles.

1. A Deep Reinforcement Learning Framework for Spectrum Management in Dynamic Spectrum Access

2. Deep Reinforcement Learning Based Resource Management for Multi-Access Edge Computing in Vehicular Networks

3. Constrained reinforcement learning has zero duality gap;paternain,2019

4. Safe exploration in continuous action spaces;dalal,2018

5. Learning to communicate with deep multi-agent reinforcement learning;foerster,2016

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