Cache Policy Design via Reinforcement Learning for Cellular Networks in Non-Stationary Environment

Ashvin Srinivasan, Mohsen Amidzade, Junshan Zhang, Olav Tirkkonen

University of California, Davis

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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RILREW: Reinforcement Learning for Real-time Wireless Scheduling and Edge Caching: Theory and Algorithm Design
Tirkkonen, O. (Principal investigator), Amidzade, M. (Project Member), Srinivasan, A. (Project Member), Singh, U. (Project Member), Shaikh, B. (Project Member) & Al-Tous, H. (Project Member)
01/01/2022 → 31/12/2024
Project: Academy of Finland: Other research funding