Experience Replay Using Transition Sequences Karimpanal, TG and Bouffanais, R 2018, Experience Replay Using Transition Sequences, Frontiers in Neurorobotics, vol. 12, pp. 1-12, doi: 10.3389/fnbot.2018.00032. Attached Files Name Description MIMEType Size Downloads Title Experience Replay Using Transition Sequences Author(s) Karimpanal, TG Bouffanais, R Journal name Frontiers in Neurorobotics Volume number 12 Article ID 32 Start page 1 End page 12 Total pages 12 Publisher Frontiers Media Place of publication Lausanne, Switzerland Publication date 2018 ISSN 1662-5218 1662-5218 Keyword(s) Computer Science Computer Science, Artificial Intelligence experience replay Life Sciences & Biomedicine multi-task reinforcement learning Neurosciences Neurosciences & Neurology off-policy probabilistic policy reuse Q-learning Robotics Science & Technology Technology Language eng DOI 10.3389/fnbot.2018.00032 Field of Research 0801 Artificial Intelligence and Image Processing 0903 Biomedical Engineering 1109 Neurosciences HERDC Research category C1 Refereed article in a scholarly journal Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30132652 Document type: Journal Article Collections: Open Access Collection A2I2 (Applied Artificial Intelligence Institute) Related Links Link Description Link to full-text (open acess) 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. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Thu, 28 Nov 2019, 08:50:58 EST Fri, 29 Nov 2019, 04:00:32 EST Fri, 29 Nov 2019, 05:03:27 EST Fri, 29 Nov 2019, 07:52:07 EST Sat, 30 Oct 2021, 01:31:26 EST Fri, 03 Dec 2021, 14:35:53 EST Wed, 09 Feb 2022, 08:15:07 EST Wed, 09 Feb 2022, 14:58:53 EST Wed, 09 Feb 2022, 15:19:27 EST Filtered Full Citation counts:   Cited 3 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 14 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Thu, 28 Nov 2019, 08:50:58 EST