{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T15:15:18Z","timestamp":1783437318705,"version":"3.54.6"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T00:00:00Z","timestamp":1743379200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T00:00:00Z","timestamp":1743379200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100018537","name":"National Science and Technology Major Project","doi-asserted-by":"publisher","award":["2021ZD0114600"],"award-info":[{"award-number":["2021ZD0114600"]}],"id":[{"id":"10.13039\/501100018537","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62276260,62076235,62002106,62441233"],"award-info":[{"award-number":["62276260,62076235,62002106,62441233"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,3,31]]},"DOI":"10.23919\/date64628.2025.10992846","type":"proceedings-article","created":{"date-parts":[[2025,5,21]],"date-time":"2025-05-21T17:36:35Z","timestamp":1747848995000},"page":"1-7","source":"Crossref","is-referenced-by-count":2,"title":["SACPlace: Multi-Agent Deep Reinforcement Learning for Symmetry-Aware Analog Circuit Placement"],"prefix":"10.23919","author":[{"given":"Lei","family":"Cai","sequence":"first","affiliation":[{"name":"School of Computer Science and Artificial Intelligence, School of Information Engineering, Wuhan University of Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guojing","family":"Ge","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences,Foundation Model Research Center"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guibo","family":"Zhu","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences,Foundation Model Research Center"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jixin","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Hubei University of Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinqiao","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences,Foundation Model Research Center"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bowen","family":"Jia","sequence":"additional","affiliation":[{"name":"School of Computer Science and Artificial Intelligence, School of Information Engineering, Wuhan University of Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ning","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Artificial Intelligence, School of Information Engineering, Wuhan University of Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.23919\/DATE54114.2022.9774498"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3299902.3309751"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2015.2501293"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18072.2020.9218621"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2023.3296374"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.108188"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS45731.2020.9181148"},{"key":"ref8","doi-asserted-by":"crossref","DOI":"10.1145\/3400302.3415624","article-title":"A customized graph neural network model for guiding analog ic placement","volume-title":"ICCAD \u201920: IEEE\/ACM International Conference on Computer-Aided Design","author":"Li","year":"2020"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/SMACD61181.2024.10745442"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18072.2020.9218621"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MDAT.2020.3024153"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2015.2391263"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/SMACD.2019.8795267"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS51556.2021.9401562"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCIAIG.2012.2186810"},{"key":"ref16","volume":"abs\/1707.06347","author":"Schulman","year":"2017","journal-title":"Proximal policy optimization algorithms"},{"key":"ref17","article-title":"Adam: A method for stochastic optimization","volume":"abs\/1412.6980","author":"Kingma","year":"2014","journal-title":"CoRR"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.23919\/DATE56975.2023.10137296"},{"key":"ref19","article-title":"Decision transformer: Reinforcement learning via sequence modeling","author":"Chen","year":"2021","journal-title":"Neural Information Processing Systems"},{"key":"ref20","first-page":"18346","article-title":"Chipformer: Transferable chip placement via offline decision transformer","volume-title":"International Conference on Machine Learning, ICML 2023, 23\u201329 July 2023, Honolulu, Hawaii, USA, ser. Proceedings of Machine Learning Research","volume":"202","author":"Lai","year":"2023"},{"key":"ref21","first-page":"16509","article-title":"Multi-agent reinforcement learning is a sequence modeling problem","volume-title":"Advances in Neural Information Processing Systems","volume":"35","author":"Wen","year":"2022"},{"key":"ref22","article-title":"The surprising effectiveness of PPO in cooperative multi-agent games","volume-title":"Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track","author":"Yu","year":"2022"},{"key":"ref23","article-title":"Trust region policy optimisation in multi-agent reinforcement learning","volume-title":"The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event","author":"Kuba","year":"2022"}],"event":{"name":"2025 Design, Automation & Test in Europe Conference (DATE)","location":"Lyon, France","start":{"date-parts":[[2025,3,31]]},"end":{"date-parts":[[2025,4,2]]}},"container-title":["2025 Design, Automation & Test in Europe Conference (DATE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10992638\/10992588\/10992846.pdf?arnumber=10992846","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,22]],"date-time":"2025-05-22T06:07:19Z","timestamp":1747894039000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10992846\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,31]]},"references-count":23,"URL":"https:\/\/doi.org\/10.23919\/date64628.2025.10992846","relation":{},"subject":[],"published":{"date-parts":[[2025,3,31]]}}}