{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:33:55Z","timestamp":1750221235758,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,7,6]],"date-time":"2018-07-06T00:00:00Z","timestamp":1530835200000},"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":[[2018,7,6]]},"DOI":"10.1145\/3205651.3208295","type":"proceedings-article","created":{"date-parts":[[2018,7,6]],"date-time":"2018-07-06T19:30:44Z","timestamp":1530905444000},"page":"1426-1433","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Model parameter adaptive instance-based policy optimization for episodic control tasks of nonholonomic systems"],"prefix":"10.1145","author":[{"given":"Kyotaro","family":"Ohashi","sequence":"first","affiliation":[{"name":"Shinshu University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Natsuki","family":"Fujiyoshi","sequence":"additional","affiliation":[{"name":"Shinshu University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naoki","family":"Sakamoto","sequence":"additional","affiliation":[{"name":"Shinshu University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youhei","family":"Akimoto","sequence":"additional","affiliation":[{"name":"University of Tsukuba"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2018,7,6]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1830483.1830556"},{"volume-title":"Black-box Data-efficient Policy Search for Robotics. In IEEE\/RSJ International Conference on Intelligent Robots and Systems. IEEE, 51--58","year":"2017","author":"Chatzilygeroudis Konstantinos","key":"e_1_3_2_1_2_1"},{"key":"e_1_3_2_1_3_1","volume-title":"Exemplar-based Direct Policy Search with Evolutionary Optimization. In 2005 IEEE Congress on Evolutionary Computation","volume":"3","author":"Ikeda Kokolo","year":"2005"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1527\/tjsai.25.351"},{"key":"e_1_3_2_1_5_1","first-page":"415","article-title":"Instance Based Policy Representation and Its Evolutionary Optimization(-Special Issue- New Trends of Population-Based Machine Learning). SYSTEMS","volume":"57","author":"Ikeda Kokolo","year":"2013","journal-title":"CONTROL AND INFORMATION"},{"key":"e_1_3_2_1_6_1","volume-title":"Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems","volume":"1","author":"Metzen Jan Hendrik","year":"2008"},{"volume-title":"Optimization of Instance-Based Policy Based on Real-Coded Genetic Algorithms. In IEEE Conference on Soft Computing in Industrial Applications, SMCia'08","year":"2009","author":"Miyamae A.","key":"e_1_3_2_1_7_1"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/3013545.3013551"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2330163.2330288"},{"key":"e_1_3_2_1_10_1","unstructured":"Tim Salimans Jonathan Ho Xi Chen Szymon Sidor and Ilya Sutskever. 2017. Evolution Strategies as a Scalable Alternative to Reinforcement Learning. (2017). arXiv:1703.03864  Tim Salimans Jonathan Ho Xi Chen Szymon Sidor and Ilya Sutskever. 2017. Evolution Strategies as a Scalable Alternative to Reinforcement Learning. (2017). arXiv:1703.03864"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1162\/artl.2009.15.2.15202"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1162\/106365602320169811"},{"key":"e_1_3_2_1_13_1","unstructured":"Richard S. Sutton and Andrew G. Barto. 1998. Reinforcement Learning: An Introduction. Vol. 1. MIT press Cambridge.   Richard S. Sutton and Andrew G. Barto. 1998. Reinforcement Learning: An Introduction. Vol. 1. MIT press Cambridge."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.9746\/sicetr1965.42.1344"},{"volume":"2","volume-title":"The 10th International Conference on Autonomous Agents and Multiagent Systems","author":"Urieli Daniel","key":"e_1_3_2_1_15_1"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992698"},{"key":"e_1_3_2_1_17_1","first-page":"877","article-title":"Evolutionary Function Approximation for Reinforcement Learning","author":"Whiteson Shimon","year":"2006","journal-title":"Journal of Machine Learning Research 7"}],"event":{"name":"GECCO '18: Genetic and Evolutionary Computation Conference","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"],"location":"Kyoto Japan","acronym":"GECCO '18"},"container-title":["Proceedings of the Genetic and Evolutionary Computation Conference Companion"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3205651.3208295","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3205651.3208295","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:07:15Z","timestamp":1750212435000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3205651.3208295"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7,6]]},"references-count":17,"alternative-id":["10.1145\/3205651.3208295","10.1145\/3205651"],"URL":"https:\/\/doi.org\/10.1145\/3205651.3208295","relation":{},"subject":[],"published":{"date-parts":[[2018,7,6]]},"assertion":[{"value":"2018-07-06","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}