{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:20:51Z","timestamp":1750220451770,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,3,19]],"date-time":"2021-03-19T00:00:00Z","timestamp":1616112000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,3,19]]},"DOI":"10.1145\/3460569.3460573","type":"proceedings-article","created":{"date-parts":[[2021,8,31]],"date-time":"2021-08-31T16:24:32Z","timestamp":1630427072000},"page":"34-38","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Applying Soft Attention in Deep Reinforcement Learning for Robot Collision Avoidance"],"prefix":"10.1145","author":[{"given":"Pei","family":"Xu","sequence":"first","affiliation":[{"name":"University of Science and Technology of China, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"GuangDa","family":"Chen","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianmin","family":"Ji","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,8,31]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.3390\/s17122742"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2017.2656241"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2016.11.007"},{"key":"e_1_3_2_1_4_1","volume-title":"Self-supervised deep reinforcement learning with generalized computation graphs for robot navigation[C]\/\/2018 IEEE International Conference on Robotics and Automation (ICRA)","author":"Kahn G","year":"2018","unstructured":"Kahn G , Villaflor A , Ding B , Self-supervised deep reinforcement learning with generalized computation graphs for robot navigation[C]\/\/2018 IEEE International Conference on Robotics and Automation (ICRA) . IEEE , 2018 : 1-8. Kahn G, Villaflor A, Ding B, Self-supervised deep reinforcement learning with generalized computation graphs for robot navigation[C]\/\/2018 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2018: 1-8."},{"key":"e_1_3_2_1_5_1","unstructured":"Mnih V Kavukcuoglu K Silver D Human-level control through deep reinforcement learning[J]. Nature.  Mnih V Kavukcuoglu K Silver D Human-level control through deep reinforcement learning[J]. Nature."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.5555\/3045390.3045594"},{"key":"e_1_3_2_1_7_1","first-page":"6276","article-title":"Learning with training wheels: speeding up training with a simple controller for deep reinforcement learning[C]\/\/2018 IEEE International Conference on Robotics and Automation (ICRA)","volume":"2018","author":"Xie L","unstructured":"Xie L , Wang S , Rosa S , Learning with training wheels: speeding up training with a simple controller for deep reinforcement learning[C]\/\/2018 IEEE International Conference on Robotics and Automation (ICRA) . IEEE , 2018 : 6276 - 6283 . Xie L, Wang S, Rosa S, Learning with training wheels: speeding up training with a simple controller for deep reinforcement learning[C]\/\/2018 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2018: 6276-6283.","journal-title":"IEEE"},{"key":"e_1_3_2_1_8_1","volume-title":"Deep recurrent q-learning for partially observable mdps[J]. arXiv preprint arXiv:1507.06527","author":"Hausknecht M","year":"2015","unstructured":"Hausknecht M , Stone P. Deep recurrent q-learning for partially observable mdps[J]. arXiv preprint arXiv:1507.06527 , 2015 . Hausknecht M, Stone P. Deep recurrent q-learning for partially observable mdps[J]. arXiv preprint arXiv:1507.06527, 2015."},{"key":"e_1_3_2_1_9_1","volume-title":"Neural machine translation by jointly learning to align and translate[J]. arXiv preprint arXiv:1409.0473","author":"Bahdanau D","year":"2014","unstructured":"Bahdanau D , Cho K , Bengio Y. Neural machine translation by jointly learning to align and translate[J]. arXiv preprint arXiv:1409.0473 , 2014 . Bahdanau D, Cho K, Bengio Y. Neural machine translation by jointly learning to align and translate[J]. arXiv preprint arXiv:1409.0473, 2014."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.5555\/3045118.3045336"},{"key":"e_1_3_2_1_11_1","first-page":"6015","article-title":"Crowd-aware robot navigation with attention-based deep reinforcement learning[C]\/\/2019 International Conference on Robotics and Automation (ICRA)","volume":"2019","author":"Chen C","unstructured":"Chen C , Liu Y , Kreiss S , Crowd -robot interaction : Crowd-aware robot navigation with attention-based deep reinforcement learning[C]\/\/2019 International Conference on Robotics and Automation (ICRA) . IEEE , 2019 : 6015 - 6022 . Chen C, Liu Y, Kreiss S, Crowd-robot interaction: Crowd-aware robot navigation with attention-based deep reinforcement learning[C]\/\/2019 International Conference on Robotics and Automation (ICRA). IEEE, 2019: 6015-6022.","journal-title":"IEEE"},{"key":"e_1_3_2_1_12_1","volume-title":"Deep attention recurrent Q-network[J]. arXiv preprint arXiv:1512.01693","author":"Sorokin I","year":"2015","unstructured":"Sorokin I , Seleznev A , Pavlov M , Deep attention recurrent Q-network[J]. arXiv preprint arXiv:1512.01693 , 2015 . Sorokin I, Seleznev A, Pavlov M, Deep attention recurrent Q-network[J]. arXiv preprint arXiv:1512.01693, 2015."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_2_1_14_1","volume-title":"Smart W D. Layered costmaps for context-sensitive navigation[C]\/\/2014 IEEE\/RSJ International Conference on Intelligent Robots and Systems","author":"Lu D V","year":"2014","unstructured":"Lu D V , Hershberger D , Smart W D. Layered costmaps for context-sensitive navigation[C]\/\/2014 IEEE\/RSJ International Conference on Intelligent Robots and Systems . IEEE , 2014 : 709-715. Lu D V, Hershberger D, Smart W D. Layered costmaps for context-sensitive navigation[C]\/\/2014 IEEE\/RSJ International Conference on Intelligent Robots and Systems. IEEE, 2014: 709-715."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3455394"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553380"},{"key":"e_1_3_2_1_17_1","first-page":"2149","article-title":"Design and use paradigms for gazebo, an open-source multi-robot simulator[C]\/\/2004 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No. 04CH37566)","volume":"3","author":"Koenig N","year":"2004","unstructured":"Koenig N , Howard A . Design and use paradigms for gazebo, an open-source multi-robot simulator[C]\/\/2004 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No. 04CH37566) . IEEE , 2004 , 3 : 2149 - 2154 . Koenig N, Howard A. Design and use paradigms for gazebo, an open-source multi-robot simulator[C]\/\/2004 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No. 04CH37566). IEEE, 2004, 3: 2149-2154.","journal-title":"IEEE"},{"key":"e_1_3_2_1_18_1","first-page":"027836492091653","article-title":"Distributed multi-robot collision avoidance via deep reinforcement learning for navigation in complex scenarios[J]","volume":"2020","author":"Fan T","unstructured":"Fan T , Long P , Liu W , Distributed multi-robot collision avoidance via deep reinforcement learning for navigation in complex scenarios[J] . The International Journal of Robotics Research , 2020 : 0278364920916531 . Fan T, Long P, Liu W, Distributed multi-robot collision avoidance via deep reinforcement learning for navigation in complex scenarios[J]. The International Journal of Robotics Research, 2020: 0278364920916531.","journal-title":"The International Journal of Robotics Research"}],"event":{"name":"ICMAI 2021: 2021 6th International Conference on Mathematics and Artificial Intelligence","acronym":"ICMAI 2021","location":"Chengdu China"},"container-title":["2021 6th International Conference on Mathematics and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3460569.3460573","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3460569.3460573","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:47:56Z","timestamp":1750193276000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3460569.3460573"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,19]]},"references-count":18,"alternative-id":["10.1145\/3460569.3460573","10.1145\/3460569"],"URL":"https:\/\/doi.org\/10.1145\/3460569.3460573","relation":{},"subject":[],"published":{"date-parts":[[2021,3,19]]},"assertion":[{"value":"2021-08-31","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}