A synthesis of automated planning and reinforcement learning for efficient, robust decision-making

Leonetti, M orcid.org/0000-0002-3831-2400, Iocchi, L and Stone, P (2016) A synthesis of automated planning and reinforcement learning for efficient, robust decision-making. Artificial Intelligence, 241. pp. 103-130. ISSN 0004-3702

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Copyright, Publisher and Additional Information: © 2016 Elsevier B.V. This is an author produced version of a paper published in Artificial Intelligence. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Automated Planning; Reinforcement Learning; Autonomous Robot; Robot Learning; Anwer Set Programming
Dates:
  • Published: December 2016
  • Accepted: 20 July 2016
  • Published (online): 12 September 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 14 Sep 2016 11:19
Last Modified: 14 Sep 2017 05:06
Published Version: http://dx.doi.org/10.1016/j.artint.2016.07.004
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.artint.2016.07.004

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