{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T04:08:20Z","timestamp":1750738100686,"version":"3.41.0"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031962547","type":"print"},{"value":"9783031962554","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-96255-4_28","type":"book-chapter","created":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T02:14:05Z","timestamp":1750731245000},"page":"303-312","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Evaluating Deep Reinforcement Learning for\u00a0Robotic Navigation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3900-7157","authenticated-orcid":false,"given":"Jorge","family":"Guti\u00e9rrez","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3685-5567","authenticated-orcid":false,"given":"Luis Enrique","family":"Sucar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8334-5287","authenticated-orcid":false,"given":"Rafael","family":"Murrieta-Cid","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9788-1128","authenticated-orcid":false,"given":"Israel","family":"Becerra","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7951-890X","authenticated-orcid":false,"given":"Gabriel Omar","family":"Flores-Aquino","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,6,18]]},"reference":[{"issue":"3","key":"28_CR1","first-page":"1233","volume":"4","author":"AH Qureshi","year":"2019","unstructured":"Qureshi, A.H., Patil, S., Yadav, V.: MPNet: neural motion planning network for autonomous navigation. IEEE Robot. Autom. Lett. 4(3), 1233\u20131240 (2019)","journal-title":"IEEE Robot. Autom. Lett."},{"key":"28_CR2","unstructured":"Haarnoja, T., Zhou, A., Abbeel, P., Levine, S.: Soft actor-critic: off-policy maximum entropy deep reinforcement learning with a stochastic actor. In: Proceedings of the 35th International Conference on Machine Learning (ICML), vol. 80, pp. 1861\u20131870 (2018)"},{"key":"28_CR3","unstructured":"Sutton, R.S., Barto, A.G.: Introduction to Reinforcement Learning. MIT Press (1998)"},{"issue":"5","key":"28_CR4","doi-asserted-by":"publisher","first-page":"378","DOI":"10.1177\/02783640122067453","volume":"20","author":"SM LaValle","year":"2001","unstructured":"LaValle, S.M., Kuffner, J.J., Jr.: Randomized kinodynamic planning. Int. J. Robot. Res. 20(5), 378\u2013400 (2001)","journal-title":"Int. J. Robot. Res."},{"issue":"4","key":"28_CR5","doi-asserted-by":"publisher","first-page":"566","DOI":"10.1109\/70.508439","volume":"12","author":"LE Kavraki","year":"1996","unstructured":"Kavraki, L.E., \u0160vestka, P., Latombe, J.C., Overmars, M.H.: Probabilistic roadmaps for path planning in high-dimensional configuration spaces. IEEE Trans. Robot. Autom. 12(4), 566\u2013580 (1996)","journal-title":"IEEE Trans. Robot. Autom."},{"issue":"7","key":"28_CR6","doi-asserted-by":"publisher","first-page":"846","DOI":"10.1177\/0278364911406761","volume":"30","author":"S Karaman","year":"2011","unstructured":"Karaman, S., Frazzoli, E.: Sampling-based algorithms for optimal motion planning. Int. J. Robot. Res. 30(7), 846\u2013894 (2011)","journal-title":"Int. J. Robot. Res."},{"key":"28_CR7","first-page":"1","volume":"2016","author":"W Li","year":"2016","unstructured":"Li, W., Littlefield, Z., Alterovitz, R.: Efficient motion planning for high-dimensional robots by exploiting local optimality properties of SST*. Proc. Robot. Sci. Syst. (RSS) 2016, 1\u201310 (2016)","journal-title":"Proc. Robot. Sci. Syst. (RSS)"},{"key":"28_CR8","unstructured":"Schulman, J., Wolski, F., Dhariwal, P., Radford, A., Klimov, O.: Proximal Policy Optimization Algorithms. arXiv preprint arXiv:1707.06347 (2017)"},{"key":"28_CR9","unstructured":"Lillicrap, T.P., et al.: Continuous Control with Deep Reinforcement Learning. arXiv preprint arXiv:1509.02971 (2015)"},{"key":"28_CR10","doi-asserted-by":"crossref","unstructured":"Faust, A., et al.: PRM-RL: long-range robotic navigation tasks by combining reinforcement learning and sampling-based planning. In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 5113\u20135120 (2018)","DOI":"10.1109\/ICRA.2018.8461096"},{"key":"28_CR11","doi-asserted-by":"crossref","unstructured":"Pathak, D., Agrawal, P., Efros, A.A., Darrell, T.: Curiosity-driven exploration by self-supervised prediction. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1445\u20131454 (2017)","DOI":"10.1109\/CVPRW.2017.70"},{"key":"28_CR12","unstructured":"Zahavy, T., Ben-Zrihem, N., Mannor, S.: Graying the black box: understanding DQNs. In: Proceedings of the 33rd International Conference on Machine Learning (ICML), vol. 48, pp. 1899\u20131908 (2016)"},{"key":"28_CR13","doi-asserted-by":"crossref","unstructured":"Todorov, E., Erez, T., Tassa, Y.: MuJoCo: a physics engine for model-based control. In: 2012 IEEE\/RSJ International Conference on Intelligent Robots and Systems, pp. 5026\u20135033 (2012)","DOI":"10.1109\/IROS.2012.6386109"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-96255-4_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T02:14:08Z","timestamp":1750731248000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-96255-4_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031962547","9783031962554"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-96255-4_28","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"18 June 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"MCPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mexican Conference on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guanajuato","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mexico","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mcpr22025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/mcpr2025.eventos.cimat.mx\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}