A Robust Approach for Continuous Interactive Reinforcement Learning Millán-Arias, C, Fernandes, B, Cruz Naranjo, Francisco, Dazeley, Richard and Fernandes, Siona 2020, A Robust Approach for Continuous Interactive Reinforcement Learning, in HAI 2020 - Proceedings of the 8th International Conference on Human-Agent Interaction, ACM,, pp. 278-280, doi: 10.1145/3406499.3418769. Attached Files Name Description MIMEType Size Downloads Title A Robust Approach for Continuous Interactive Reinforcement Learning Author(s) Millán-Arias, C Fernandes, B Cruz Naranjo, Francisco orcid.org/0000-0002-1131-3382 Dazeley, Richard orcid.org/0000-0002-6199-9685 Fernandes, Siona Conference name Human-Agent Interaction. International conference (8th : 2020 : Virtual Event U.S.A.) Conference location Virtual Event, U.S.A. Conference dates 2020/11/10 - 2020/11/13 Title of proceedings HAI 2020 - Proceedings of the 8th International Conference on Human-Agent Interaction Publication date 2020 Start page 278 End page 280 Total pages 3 Publisher ACM ISBN 9781450380546 Language eng DOI 10.1145/3406499.3418769 Indigenous content off HERDC Research category E2 Full written paper - non-refereed / Abstract reviewed Persistent URL http://hdl.handle.net/10536/DRO/DU:30146056 Document type: Conference Paper 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     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 03 Dec 2020, 13:20:25 EST Thu, 03 Dec 2020, 14:00:32 EST Thu, 03 Dec 2020, 14:13:37 EST Fri, 04 Dec 2020, 08:19:52 EST Fri, 04 Dec 2020, 08:21:28 EST Sat, 05 Dec 2020, 05:05:32 EST Fri, 08 Jan 2021, 15:32:39 EST Fri, 08 Jan 2021, 15:34:35 EST Fri, 08 Jan 2021, 15:35:39 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 67 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Fri, 04 Dec 2020, 08:21:28 EST

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