{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,26]],"date-time":"2025-08-26T06:52:57Z","timestamp":1756191177436,"version":"3.33.0"},"reference-count":10,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,15]],"date-time":"2024-12-15T00:00:00Z","timestamp":1734220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,15]],"date-time":"2024-12-15T00:00:00Z","timestamp":1734220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100012365","name":"Howard University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100012365","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,12,15]]},"DOI":"10.1109\/bigdata62323.2024.10826072","type":"proceedings-article","created":{"date-parts":[[2025,1,16]],"date-time":"2025-01-16T18:31:23Z","timestamp":1737052283000},"page":"5220-5224","source":"Crossref","is-referenced-by-count":1,"title":["Modular Deep Reinforcement Learning: Enhancing Flexibility through Agent Splitting"],"prefix":"10.1109","author":[{"given":"Chong","family":"Tian","sequence":"first","affiliation":[{"name":"Howard University,Dept. of Electrical Engineering &#x0026; Computer Science,Washington, DC,USA"}]},{"given":"Danda B.","family":"Rawat","sequence":"additional","affiliation":[{"name":"Howard University,Dept. of Electrical Engineering &#x0026; Computer Science,Washington, DC,USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(99)00052-1"},{"article-title":"Massively parallel methods for deep reinforcement learning","year":"2015","author":"Nair","key":"ref2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2293637"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24412-4_3"},{"key":"ref5","first-page":"2847","article-title":"On the expressive power of deep neural networks","volume-title":"34th Intl Conference on Machine Learning","author":"Raghu"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-021-01605-0"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969153"},{"key":"ref8","first-page":"807","article-title":"Rectified linear units improve restricted boltzmann machines","volume-title":"Proceedings of the 27th Intl Conference on Machine Learning (ICML)","author":"Nair"},{"article-title":"On the complexity of shallow and deep neural network classifiers","volume-title":"Proc. of the ESANN","author":"Bianchini","key":"ref9"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/230514.571645"}],"event":{"name":"2024 IEEE International Conference on Big Data (BigData)","start":{"date-parts":[[2024,12,15]]},"location":"Washington, DC, USA","end":{"date-parts":[[2024,12,18]]}},"container-title":["2024 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10824975\/10824942\/10826072.pdf?arnumber=10826072","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,17]],"date-time":"2025-01-17T07:44:25Z","timestamp":1737099865000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10826072\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,15]]},"references-count":10,"URL":"https:\/\/doi.org\/10.1109\/bigdata62323.2024.10826072","relation":{},"subject":[],"published":{"date-parts":[[2024,12,15]]}}}