{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T17:14:25Z","timestamp":1790961265382,"version":"4.1.0"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T00:00:00Z","timestamp":1776643200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T00:00:00Z","timestamp":1776643200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006785","name":"Google","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006785","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,4,20]]},"DOI":"10.23919\/date69613.2026.11539594","type":"proceedings-article","created":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T19:53:10Z","timestamp":1780602790000},"page":"1-7","source":"Crossref","is-referenced-by-count":1,"title":["Accelerating Detailed Routing Convergence through Offline Reinforcement Learning"],"prefix":"10.23919","author":[{"given":"Afsara","family":"Khan","sequence":"first","affiliation":[{"name":"New York University,Electrical and Computer Engineering,NY,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Austin","family":"Rovinski","sequence":"additional","affiliation":[{"name":"New York University,Electrical and Computer Engineering,NY,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TEC.1961.5219222"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/DAC.1988.14840"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/800260.809014"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3287624.3287678"},{"key":"ref5","article-title":"OpenROAD: Toward a Self-Driving, Open-Source Digital Layout Implementation Tool Chain","volume-title":"Proc. GOMATECH","author":"Ajayi"},{"key":"ref6","article-title":"INVITED: Toward an Open-Source Digital Flow: First Learnings from the OpenROAD Project","volume-title":"Proc. DAC","author":"Ajayi"},{"key":"ref7","first-page":"31 353","article-title":"Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources","volume-title":"International Conference on Machine Learning","author":"Shi"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN60899.2024.10651543"},{"key":"ref9","first-page":"1179","article-title":"Conservative Q-Learning for Offline Reinforcement Learning","volume-title":"Advances in Neural Information Processing Systems","volume":"33","author":"Kumar","year":"2020"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1613\/jair.460"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2744769.2744839"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2020.3003234"},{"key":"ref13","first-page":"170","article-title":"Gridless pin access in detailed routing","volume-title":"Proceedings of the 48th Design Automation Conference","author":"Nieberg"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2016.2622625"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/DAC.2014.6881377"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2014.2385755"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3177540.3177562"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3299902.3311067"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3240765.3240766"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.23919\/DATE48585.2020.9116488"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2024.3405894"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3372780.3375560"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3569052.3571874"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1137\/20M1344883"},{"key":"ref25","first-page":"1816","article-title":"Sampling based on sobol\u2032 sequences for monte carlo techniques applied to building simulations","volume-title":"Proceedings of Building Simulation 2011: 12th Conference of IBPSA","volume":"12","author":"Burhenne"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3400302.3415734"},{"key":"ref27","article-title":"Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems","author":"Levine","year":"2020"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.1998.712192"},{"key":"ref29","article-title":"d3rlpy: An Offline Deep Reinforcement Learning Library","author":"Seno","year":"2022"},{"key":"ref30","article-title":"Hyperparameter Selection for Offline Reinforcement Learning","author":"Paine","year":"2020"}],"event":{"name":"2026 Design, Automation & Test in Europe Conference (DATE)","location":"Verona, Italy","start":{"date-parts":[[2026,4,20]]},"end":{"date-parts":[[2026,4,22]]}},"container-title":["2026 Design, Automation & Test in Europe Conference (DATE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11539023\/11539024\/11539594.pdf?arnumber=11539594","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T05:17:56Z","timestamp":1780636676000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11539594\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,20]]},"references-count":30,"URL":"https:\/\/doi.org\/10.23919\/date69613.2026.11539594","relation":{},"subject":[],"published":{"date-parts":[[2026,4,20]]}}}