Offline Reinforcement Learning and Cognitive Radio Resource Management for Space-based Radio Access Network Optimization
Author:
Affiliation:
1. ANDRO Computational Solutions, LLC,Spectrum Engineering,Rome,NY,USA
2. ANDRO Computational Solutions, LLC,Spectrum Engineering,Syracuse,NY,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10219184/10219161/10219310.pdf?arnumber=10219310
Reference12 articles.
1. CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing
2. The LSTM-Based Advantage Actor-Critic Learning for Resource Management in Network Slicing With User Mobility
3. d3rlpy: An Offline Deep Reinforcement Library;seno;Neural Information Processing Systems Reinforcement Learning Workshop,2021
4. Flexible Resource Block Allocation to Multiple Slices for Radio Access Network Slicing Using Deep Reinforcement Learning
5. Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems;levine,2020
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