A conceptual framework for externally-influenced agents: an assisted reinforcement learning review Bignold, A, Cruz, Francisco, Taylor, ME, Brys, T, Dazeley, Richard, Vamplew, P and Foale, C 2021, A conceptual framework for externally-influenced agents: an assisted reinforcement learning review, Journal of Ambient Intelligence and Humanized Computing, doi: 10.1007/s12652-021-03489-y. Attached Files Name Description MIMEType Size Downloads Title A conceptual framework for externally-influenced agents: an assisted reinforcement learning review Author(s) Bignold, A Cruz, Francisco orcid.org/0000-0002-1131-3382 Taylor, ME Brys, T Dazeley, Richard orcid.org/0000-0002-6199-9685 Vamplew, P Foale, C Journal name Journal of Ambient Intelligence and Humanized Computing Total pages 24 Publisher Springer Place of publication Berlin, Germany Publication date 2021-01-01 ISSN 1868-5137 1868-5145 Keyword(s) Assistance taxonomy Assisted reinforcement learning Computer Science Computer Science, Artificial Intelligence Computer Science, Information Systems EXPLORATION Externally-influenced agents HUMANS REWARD ROBOCUP Science & Technology Technology Telecommunications Language eng DOI 10.1007/s12652-021-03489-y Indigenous content off Field of Research 0801 Artificial Intelligence and Image Processing 0805 Distributed Computing HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30156357 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 01 Oct 2021, 07:58:56 EST Sun, 03 Oct 2021, 19:26:30 EST Sun, 24 Oct 2021, 14:30:03 EST Tue, 23 Nov 2021, 15:18:15 EST Thu, 20 Jan 2022, 16:37:18 EST Wed, 09 Mar 2022, 09:50:26 EST Wed, 09 Mar 2022, 13:15:58 EST Wed, 09 Mar 2022, 13:21:01 EST Thu, 10 Mar 2022, 07:48:04 EST Filtered Full Citation counts:   Cited 2 times in TR Web of Science Cited 2 times in Scopus Search Google Scholar Access Statistics: 28 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Sun, 24 Oct 2021, 14:30:03 EST