{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:33:34Z","timestamp":1730266414567,"version":"3.28.0"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"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":[[2019,7]]},"DOI":"10.1109\/ijcnn.2019.8851896","type":"proceedings-article","created":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T03:44:32Z","timestamp":1569901472000},"page":"1-8","source":"Crossref","is-referenced-by-count":2,"title":["Retina-inspired Visual Module for Robot Navigation in Complex Environments"],"prefix":"10.1109","author":[{"given":"Hans","family":"Lehnert","sequence":"first","affiliation":[]},{"given":"Maria-Jose","family":"Escobar","sequence":"additional","affiliation":[]},{"given":"Mauricio","family":"Araya","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","article-title":"End-to-End Training of Deep Visuomotor Policies","author":"levine","year":"2016","journal-title":"Tech Rep"},{"key":"ref11","first-page":"3846","article-title":"Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning","author":"gu","year":"2017"},{"key":"ref12","first-page":"1928","article-title":"Asynchronous Methods for Deep Reinforcement Learning","author":"mnih","year":"2016","journal-title":"Proceedings of the 33rd International Conference on International Conference on Machine Learning-Volume 48"},{"key":"ref13","article-title":"Learning to Navigate in Complex Environments","author":"mirowski","year":"2016","journal-title":"CoRR"},{"key":"ref14","article-title":"Reinforcement Learning with Unsupervised Auxiliary Tasks","author":"jaderberg","year":"2016","journal-title":"CoRR"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.70"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-018-0102-6"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1126\/science.1149639"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2009.12.009"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pbio.1000063"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2014.08.040"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.1998.712192"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1152\/jn.01025.2007"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2743240"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1561\/2300000021","article-title":"A Survey on Policy Search for Robotics","volume":"2","author":"deisenroth","year":"2013","journal-title":"Foundations and Trends in Robotics"},{"key":"ref29","first-page":"arxiv:1609.04747","article-title":"An overview of gradient descent optimization algorithms","author":"ruder","year":"2016","journal-title":"ArXiv e-prints"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1090\/S0002-9904-1954-09848-8"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/203330.203343"},{"key":"ref7","first-page":"1008","article-title":"Actor-citic agorithms","author":"konda","year":"1999","journal-title":"Proc 12th Int Conf Neural Inf Process Syst"},{"key":"ref2","article-title":"Neurodynamic programming","author":"bertsekas","year":"1996","journal-title":"Athena Scientific"},{"key":"ref9","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":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/srep27755"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2017.01.005"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/B978-012370880-9.00280-2"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3389\/fncel.2018.00444"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.neuro.23.1.127"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-neuro-071714-034120"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1038\/nature16468"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.neuro.30.051606.094252"}],"event":{"name":"2019 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2019,7,14]]},"location":"Budapest, Hungary","end":{"date-parts":[[2019,7,19]]}},"container-title":["2019 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8840768\/8851681\/08851896.pdf?arnumber=8851896","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:50:59Z","timestamp":1658094659000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8851896\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2019.8851896","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}