Learning parametric policies and transition probability models of Markov decision processes from data

DOI10.1016/j.ejcon.2020.04.003zbMath1502.90190OpenAlexW3031673669MaRDI QIDQ2220059

Henghui Zhu, Ioannis Ch. Paschalidis, Ting-Ting Xu

Publication date: 21 January 2021

Published in: European Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejcon.2020.04.003

zbMATH Keywords

regularizationmaximum likelihood estimationMarkov decision processespolicy learninglearning transition dynamics

Mathematics Subject Classification ID

Markov and semi-Markov decision processes (90C40)

Cites Work

• Unnamed Item
• Nonparametric estimation of Markov transition functions
• Nonparametric Estimation of Conditional Distributions
• Robust Markov Decision Processes
• Learning Policies for Markov Decision Processes From Data
• Robust Control of Markov Decision Processes with Uncertain Transition Matrices
• Elements of Information Theory
• Robust Dynamic Programming

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