{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T19:45:45Z","timestamp":1781552745717,"version":"3.54.5"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,14]],"date-time":"2021-12-14T00:00:00Z","timestamp":1639440000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,14]],"date-time":"2021-12-14T00:00:00Z","timestamp":1639440000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,14]]},"DOI":"10.1109\/cdc45484.2021.9683135","type":"proceedings-article","created":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T20:50:18Z","timestamp":1643748618000},"page":"2996-3003","source":"Crossref","is-referenced-by-count":44,"title":["Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems"],"prefix":"10.1109","author":[{"given":"Daniele","family":"Gammelli","sequence":"first","affiliation":[{"name":"Technical University of Denmark,DK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaidi","family":"Yang","sequence":"additional","affiliation":[{"name":"Stanford University,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"James","family":"Harrison","sequence":"additional","affiliation":[{"name":"Stanford University,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Filipe","family":"Rodrigues","sequence":"additional","affiliation":[{"name":"Technical University of Denmark,DK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francisco C.","family":"Pereira","sequence":"additional","affiliation":[{"name":"Technical University of Denmark,DK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marco","family":"Pavone","sequence":"additional","affiliation":[{"name":"Stanford University,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8917533"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1038\/nature14236","article-title":"Human-level control through deep reinforcement learning","volume":"518","author":"mnih","year":"2015","journal-title":"Nature"},{"key":"ref12","author":"schulman","year":"2017","journal-title":"Proximal policy optimization algorithms"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992696"},{"key":"ref14","author":"sutton","year":"1998","journal-title":"Reinforcement Learning An Introduction"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.4.541"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2693418"},{"key":"ref17","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2017","journal-title":"Int Conf on Learning Representations"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/0041-1647(78)90007-2"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2020.102775"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2018.05.003"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611975994.16"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1177\/0278364915581863"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460966"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.compenvurbsys.2017.04.006"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MITS.2020.3014417"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2020.102678"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-45854-9_19"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2019.00129"},{"key":"ref1","article-title":"World urbanization prospects: The 2014 revision","year":"2014","journal-title":"Technical Report"},{"key":"ref20","article-title":"Asynchronous methods for deep reinforcement learning","author":"mnih","year":"2016","journal-title":"Int Conf on Learning Representations"},{"key":"ref22","year":"2013","journal-title":"New york city taxi and limousine commision (tlc) trip record data"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487272"},{"key":"ref24","author":"paszke","year":"2019","journal-title":"Pytorch An imperative style high-performance deep learning library"},{"key":"ref23","year":"2016","journal-title":"Didi Chuxing GAIA Initiative"},{"key":"ref26","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Int Conf on Learning Representations"},{"key":"ref25","year":"1987","journal-title":"ILOG CPLEX User’s guide"}],"event":{"name":"2021 60th IEEE Conference on Decision and Control (CDC)","location":"Austin, TX, USA","start":{"date-parts":[[2021,12,14]]},"end":{"date-parts":[[2021,12,17]]}},"container-title":["2021 60th IEEE Conference on Decision and Control (CDC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9682670\/9682776\/09683135.pdf?arnumber=9683135","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T20:24:34Z","timestamp":1654547074000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9683135\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,14]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/cdc45484.2021.9683135","relation":{},"subject":[],"published":{"date-parts":[[2021,12,14]]}}}