{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,12,25]],"date-time":"2024-12-25T05:13:54Z","timestamp":1735103634596,"version":"3.32.0"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,11,6]],"date-time":"2024-11-06T00:00:00Z","timestamp":1730851200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,11,6]],"date-time":"2024-11-06T00:00:00Z","timestamp":1730851200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,11,6]]},"DOI":"10.1109\/robot61475.2024.10796966","type":"proceedings-article","created":{"date-parts":[[2024,12,23]],"date-time":"2024-12-23T19:10:37Z","timestamp":1734981037000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["D-TOP: Deep Reinforcement Learning with Tuneable Optimization for Autonomous Navigation"],"prefix":"10.1109","author":[{"given":"Diego","family":"Martinez-Baselga","sequence":"first","affiliation":[{"name":"University of Zaragoza,Aragon Institute of Engineering Research (I3A),Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luis","family":"Riazuelo","sequence":"additional","affiliation":[{"name":"University of Zaragoza,Aragon Institute of Engineering Research (I3A),Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luis","family":"Montano","sequence":"additional","affiliation":[{"name":"University of Zaragoza,Aragon Institute of Engineering Research (I3A),Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ECC.2015.7331052"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1177\/0278364918775520"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2013.6630610"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.adg1462"},{"journal-title":"Principles and guidelines for evaluating social robot navigation algorithms","year":"2023","author":"Francis","key":"ref5"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IROS55552.2023.10342152"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2936167"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636226"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593871"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794134"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9340705"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160876"},{"key":"ref13","first-page":"15 281","article-title":"Unpacking reward shaping: Understanding the benefits of reward engineering on sample complexity","volume":"35","author":"Gupta","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref14","first-page":"449","article-title":"A distributional perspective on reinforcement learning","volume-title":"International Conference on Machine Learning","author":"Bellemare","year":"2017"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1613\/jair.3912"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11791"},{"key":"ref17","first-page":"1096","article-title":"Implicit quantile networks for distributional reinforcement learning","volume-title":"International conference on machine learning","author":"Dabney","year":"2018"},{"key":"ref18","article-title":"Fully parameterized quantile function for distributional reinforcement learning","volume":"32","author":"Yang","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CASE49439.2021.9551544"},{"key":"ref20","first-page":"958","article-title":"Improving robustness via risk averse distributional reinforcement learning","volume-title":"Learning for Dynamics and Control","author":"Singh","year":"2020"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-28619-4_10"},{"key":"ref22","first-page":"1328","article-title":"Certified adversarial robustness for deep reinforcement learning","volume-title":"Conference on Robot Learning","author":"L\u00fctjens","year":"2020"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9560962"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2019.8813791"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793611"},{"key":"ref26","article-title":"Uncertainty-aware reinforcement learning for collision avoidance","author":"Kahn","year":"2017","journal-title":"arXiv preprint"},{"volume-title":"DI-engine: OpenDILab decision intelligence engine","year":"2021","key":"ref27"},{"key":"ref28","first-page":"3","article-title":"Bayesian optimization is superior to random search for machine learning hyperparameter tuning: Analysis of the black-box optimization challenge 2020","volume-title":"NeurIPS 2020 Competition and Demonstration Track","author":"Turner","year":"2021"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160458"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1.13188"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-19457-3_1"}],"event":{"name":"2024 7th Iberian Robotics Conference (ROBOT)","start":{"date-parts":[[2024,11,6]]},"location":"Madrid, Spain","end":{"date-parts":[[2024,11,8]]}},"container-title":["2024 7th Iberian Robotics Conference (ROBOT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10795802\/10796856\/10796966.pdf?arnumber=10796966","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,24]],"date-time":"2024-12-24T06:25:51Z","timestamp":1735021551000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10796966\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,6]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/robot61475.2024.10796966","relation":{},"subject":[],"published":{"date-parts":[[2024,11,6]]}}}