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University of Illinois at Urbana-Champaign

Maximum entropy on-policy reinforcement learning with monotonic policy improvement

Abstract

dc:description

This Thesis was approved for publication on 2023-07-21 at 16:57.

Degree

thesis:*
Name thesis:degree_name
M.S.
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Mechanical Engineering
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Kapadia, Mustafa
Contributors dc:contributor
  • Salapaka, Srinivasa M

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • Copyright 2023 Mustafa Kapadia
Language dc:language
en, eng

Identifiers

dc:identifier.*
Handle dc:identifier
https://hdl.handle.net/2142/121384
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/121384

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Kapadia, Mustafa. Maximum entropy on-policy reinforcement learning with monotonic policy improvement. Thesis thesis, University of Illinois at Urbana-Champaign, 2023. https://hdl.handle.net/2142/121384