A kernel-based approximate dynamic programming approach: theory and application

DOI10.1016/J.AUTOMATICA.2024.111517WikidataQ130145508 ScholiaQ130145508MaRDI QIDQ6491089

Silvio Baccari, Raffaele Iervolino, Massimo Tipaldi, Ali Forootani

Publication date: 24 April 2024

Published in: Automatica (Search for Journal in Brave)

zbMATH Keywords

dynamic programmingkernel functionMarkov decision processsensor schedulingsupport vector machineapproximate dynamic programming

Mathematics Subject Classification ID

Dynamic programming (90C39) Markov and semi-Markov decision processes (90C40)

Cites Work

• Unnamed Item
• Unnamed Item
• Kernel-based reinforcement learning
• Transmission scheduling for multi-process multi-sensor remote estimation via approximate dynamic programming
• Statistical mechanics of complex networks
• Approximate Dynamic Programming via a Smoothed Linear Program
• Improvements to Platt's SMO Algorithm for SVM Classifier Design
• Approximate Dynamic Programming
• Temporal Difference Methods for General Projected Equations

This page was built for publication: A kernel-based approximate dynamic programming approach: theory and application