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University of Illinois at Urbana-Champaign

Reinforcement learning using reservoir computing for soft robotic control: A bio-inspired system

Abstract

dc:description

Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2023-12-01

Degree

thesis:*
Name thesis:degree_name
M.S.
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Computer Science
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Shivam, Keshav
Contributors dc:contributor
  • Gazzola, Mattia
  • Chowdhary, Girish

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • Copyright 2021 Keshav Shivam
Language dc:language
en, eng

Identifiers

dc:identifier.*
Handle dc:identifier
http://hdl.handle.net/2142/114113
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/114113

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

Shivam, Keshav. Reinforcement learning using reservoir computing for soft robotic control: A bio-inspired system. Thesis thesis, University of Illinois at Urbana-Champaign, 2022. http://hdl.handle.net/2142/114113