{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T07:20:46Z","timestamp":1725434446246},"reference-count":11,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"DOI":"10.1109\/icufn.2018.8436950","type":"proceedings-article","created":{"date-parts":[[2018,8,16]],"date-time":"2018-08-16T22:04:56Z","timestamp":1534457096000},"page":"874-877","source":"Crossref","is-referenced-by-count":0,"title":["Learning Through Adverse Event for Collision Avoidance: A Self-Learning Approach"],"prefix":"10.1109","author":[{"given":"Hyunjun","family":"Han","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jusung","family":"Kang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad Asif","family":"Raza","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heung-No","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2015.2509024"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989752"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"journal-title":"(cad)$^2$rl Real single-image flight without a single real image","year":"2016","author":"sadeghi","key":"ref6"},{"journal-title":"Adam A method for stochastic optimization","year":"2014","author":"kingma","key":"ref11"},{"journal-title":"Learning to Fly by Crashing","year":"2017","author":"gandhi","key":"ref5"},{"journal-title":"Virtual-to-real Deep Reinforcement Learning Continuous Control of Mobile Robots for Mapless Navigation","year":"2017","author":"tai","key":"ref8"},{"key":"ref7","article-title":"Playing Atari with deep reinforcement learning","author":"mnih","year":"2013","journal-title":"Technical report Deepmind Technologies"},{"journal-title":"Toward Low-Flying Autonomous MAV Trail Navigation using Deep Neural Networks for Environmental Awareness","year":"2017","author":"smolyanskiy","key":"ref2"},{"journal-title":"Towards cognitive exploration through deep reinforcement learning for mobile robots","year":"2016","author":"tai","key":"ref9"},{"key":"ref1","article-title":"Convolutional Networks for Images, Speech, and Time-Series","author":"lecun","year":"1995","journal-title":"The Handbook of Brain Theory and Neural Networks"}],"event":{"name":"2018 Tenth International Conference on Ubiquitous and Future Networks (ICUFN)","start":{"date-parts":[[2018,7,3]]},"location":"Prague","end":{"date-parts":[[2018,7,6]]}},"container-title":["2018 Tenth International Conference on Ubiquitous and Future Networks (ICUFN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8417133\/8436587\/08436950.pdf?arnumber=8436950","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T12:48:13Z","timestamp":1643201293000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8436950\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":11,"URL":"https:\/\/doi.org\/10.1109\/icufn.2018.8436950","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}