Piecewise-Stationary Multi-Objective Multi-Armed Bandit With Application to Joint Communications and Sensing
Author:
Affiliation:
1. Department of Computer Science, University of Tübingen, Tübingen, Germany
Funder
German Federal Ministry of Education and Research
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/5962382/10122177/10044185.pdf?arnumber=10044185
Reference18 articles.
1. Restarted Bayesian online change-point detector achieves optimal detection delay;alami;Proc Int Conf Mach Learn,2020
2. Multi-objective reinforcement learning methods for action selection: Dealing with multiple objectives and non-stationarity;anquise,2021
3. How Energy-Efficient Can a Wireless Communication System Become?
4. Performance Tradeoff in a Unified Passive Radar and Communications System
5. A Non-Stationary Bandit-Learning Approach to Energy-Efficient Femto-Caching With Rateless-Coded Transmission
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