{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T07:19:24Z","timestamp":1776755964261,"version":"3.51.2"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,17]],"date-time":"2022-05-17T00:00:00Z","timestamp":1652745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,17]],"date-time":"2022-05-17T00:00:00Z","timestamp":1652745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006190","name":"Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006190","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,17]]},"DOI":"10.1109\/isorc52572.2022.9812837","type":"proceedings-article","created":{"date-parts":[[2022,7,6]],"date-time":"2022-07-06T19:42:30Z","timestamp":1657136550000},"page":"1-8","source":"Crossref","is-referenced-by-count":6,"title":["LRP-based Policy Pruning and Distillation of Reinforcement Learning Agents for Embedded Systems"],"prefix":"10.1109","author":[{"given":"Rui","family":"Xu","sequence":"first","affiliation":[{"name":"Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siyu","family":"Luan","sequence":"additional","affiliation":[{"name":"Umeå University,Department of Applied Physics and Electronics,Umeå,Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zonghua","family":"Gu","sequence":"additional","affiliation":[{"name":"Umeå University,Department of Applied Physics and Electronics,Umeå,Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingling","family":"Zhao","sequence":"additional","affiliation":[{"name":"Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gang","family":"Chen","sequence":"additional","affiliation":[{"name":"Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2022.102431"},{"key":"ref11","first-page":"3299","article-title":"meprop: Sparsified back propagation for accelerated deep learning with reduced overfitting","author":"sun","year":"2017","journal-title":"International Conference on Machine Learning"},{"key":"ref12","article-title":"Pruning convolutional neural networks for resource efficient inference","author":"molchanov","year":"2016"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.107899"},{"key":"ref14","article-title":"Distilling the knowledge in a neural network","volume":"2","author":"hinton","year":"2015","journal-title":"arXiv preprint arXiv 1503 02531"},{"key":"ref15","article-title":"Policy distillation","author":"rusu","year":"2015"},{"key":"ref16","first-page":"1331","article-title":"Distilling policy distillation","author":"czarnecki","year":"2019","journal-title":"International Conference on Artificial Intelligence and Statistics"},{"key":"ref17","first-page":"1087","article-title":"Mix & match agent curricula for reinforcement learning","author":"czarnecki","year":"2018","journal-title":"International Conference on Machine Learning"},{"key":"ref18","article-title":"Kickstarting deep reinforcement learning","author":"schmitt","year":"2018"},{"key":"ref19","first-page":"627","article-title":"A reduction of imitation learning and structured prediction to no-regret online learning","author":"ross","year":"2011","journal-title":"Proceedings of the fourteenth international conference on artificial intelligence and statistics JMLR Workshop and Conference Proceedings"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.03.080"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.07.045"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2020.2976475"},{"key":"ref5","article-title":"Two-bit networks for deep learning on resource-constrained embedded devices","author":"meng","year":"2017"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-015-5511-7"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2017.01.003"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2012.2218595"},{"key":"ref9","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding","author":"han","year":"2015"},{"key":"ref1","article-title":"Playing atari with deep reinforcement learning","author":"mnih","year":"2013"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3014922"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0130140"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10295"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/309"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-28954-6_10"},{"key":"ref25","article-title":"Pytorch opcounter","year":"0"}],"event":{"name":"2022 IEEE 25th International Symposium On Real-Time Distributed Computing (ISORC)","location":"V\u00e4ster\u00e5s, Sweden","start":{"date-parts":[[2022,5,17]]},"end":{"date-parts":[[2022,5,18]]}},"container-title":["2022 IEEE 25th International Symposium On Real-Time Distributed Computing (ISORC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9812705\/9812710\/09812837.pdf?arnumber=9812837","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,5]],"date-time":"2022-08-05T00:45:51Z","timestamp":1659660351000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9812837\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,17]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/isorc52572.2022.9812837","relation":{},"subject":[],"published":{"date-parts":[[2022,5,17]]}}}