{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T23:49:09Z","timestamp":1743032949074,"version":"3.40.3"},"publisher-location":"Cham","reference-count":8,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030253318"},{"type":"electronic","value":"9783030253325"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-25332-5_42","type":"book-chapter","created":{"date-parts":[[2019,7,16]],"date-time":"2019-07-16T08:13:27Z","timestamp":1563264807000},"page":"467-470","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Towards Generating Simulated Walking Motion Using Position Based Deep Reinforcement Learning"],"prefix":"10.1007","author":[{"given":"William","family":"Jones","sequence":"first","affiliation":[]},{"given":"Siddhant","family":"Gangapurwala","sequence":"additional","affiliation":[]},{"given":"Ioannis","family":"Havoutis","sequence":"additional","affiliation":[]},{"given":"Kazuya","family":"Yoshida","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,7,17]]},"reference":[{"key":"42_CR1","unstructured":"Gangapurwala, S., et al.: Generative adversarial imitation learning for quadrupedal locomotion using unstructured expert demonstrations (2018)"},{"key":"42_CR2","doi-asserted-by":"crossref","unstructured":"Mastalli, C., et al.: Trajectory and foothold optimization using low-dimensional models for rough terrain locomotion (2017)","DOI":"10.1109\/ICRA.2017.7989131"},{"issue":"26","key":"42_CR3","doi-asserted-by":"publisher","first-page":"eaau5872","DOI":"10.1126\/scirobotics.aau5872","volume":"4","author":"J Hwangbo","year":"2019","unstructured":"Hwangbo, J., et al.: Learning agile and dynamic motor skills for legged robots. Sci. Robot. 4(26), eaau5872 (2019). \n                      https:\/\/doi.org\/10.1126\/scirobotics.aau5872","journal-title":"Sci. Robot."},{"key":"42_CR4","unstructured":"Schulman, J., Wolski, F., Dhariwal, P., Radford, A., Klimov, O.: Proximal policy optimization algorithms (2017)"},{"key":"42_CR5","unstructured":"Schulman, J., Levine, S., Abbeel, P., Jordan, M., Moritz, P.: Trust region policy optimization. In: International Conference on Machine Learning, pp. 1889\u20131897, 1 June 2015"},{"key":"42_CR6","doi-asserted-by":"crossref","unstructured":"Rohmer, E., Signgh, S. P. N., Freese, M.: V-REP: a versatile and scalable robot simulation framework. In: IEEE\/RSJ International Conference on Intelligent Robots and Systems (2013)","DOI":"10.1109\/IROS.2013.6696520"},{"key":"42_CR7","doi-asserted-by":"publisher","unstructured":"Hutter, M., et al.: ANYmal - a highly mobile and dynamic quadrupedal robot. In: 2016 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, pp. 38\u201344 (2016). \n                      https:\/\/doi.org\/10.1109\/IROS.2016.7758092","DOI":"10.1109\/IROS.2016.7758092"},{"key":"42_CR8","unstructured":"Liang, J., et al.: GPU-accelerated robotic simulation for distributed reinforcement learning. CoRL (2018)"}],"container-title":["Lecture Notes in Computer Science","Towards Autonomous Robotic Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-25332-5_42","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,14]],"date-time":"2019-08-14T07:06:46Z","timestamp":1565766406000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-25332-5_42"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030253318","9783030253325"],"references-count":8,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-25332-5_42","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"17 July 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"TAROS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Annual Conference Towards Autonomous Robotic Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"London","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 July 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 July 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"taros2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.qmul.ac.uk\/robotics\/events\/taros2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}