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Policy mirror descent inherently explores action space

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Publication:6663113
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DOI10.1137/23m1560215MaRDI QIDQ6663113

Guanghui Lan, Yan Li

Publication date: 14 January 2025

Published in: SIAM Journal on Optimization (Search for Journal in Brave)



zbMATH Keywords

Markov decision processexplorationmirror descentsample complexitystochastic policy gradient


Mathematics Subject Classification ID

Analysis of algorithms and problem complexity (68Q25) Nonconvex programming, global optimization (90C26) Stochastic programming (90C15) Markov and semi-Markov decision processes (90C40)








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