{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T19:34:26Z","timestamp":1742931266542,"version":"3.40.3"},"publisher-location":"Boston, MA","reference-count":17,"publisher":"Springer US","isbn-type":[{"type":"print","value":"9780387307688"},{"type":"electronic","value":"9780387301648"}],"license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011]]},"DOI":"10.1007\/978-0-387-30164-8_732","type":"book-chapter","created":{"date-parts":[[2010,12,29]],"date-time":"2010-12-29T17:24:25Z","timestamp":1293643465000},"page":"865-869","source":"Crossref","is-referenced-by-count":3,"title":["Robot Learning"],"prefix":"10.1007","author":[{"given":"Jan","family":"Peters","sequence":"first","affiliation":[]},{"given":"Russ","family":"Tedrake","sequence":"additional","affiliation":[]},{"given":"Nicholas","family":"Roy","sequence":"additional","affiliation":[]},{"given":"Jun","family":"Morimoto","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"732_CR17_732","unstructured":"Recently, several special issues (Morimoto et\u00a0al., 2010; Peters and Ng, 2009) and books (Sigaud, 2010) have covered the domain of robot learning. The classical book (Connell and Mahadevan, 1993) is interesting nearly 20 years after its publication. Additional special topics are treated in Apolloni et\u00a0al. (2005) and Thrun et\u00a0al. (2005)."},{"key":"732_CR1_732","doi-asserted-by":"crossref","unstructured":"Apolloni, B., Ghosh, A., Alpaslan, F. N., Jain, L. C., & Patnaik, S. (2005). Machine learning and robot perception. Studies in computational intelligence (Vol. 7). Berlin: Springer.","DOI":"10.1007\/b137627"},{"issue":"7","key":"732_CR2_732","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1145\/1538788.1538812","volume":"52","author":"A Coates","year":"2009","unstructured":"Coates, A., Abbeel, P., & Ng, A. Y. (2009). Apprenticeship learning for helicopter control. Communications of the ACM, 52(7), 97\u2013105.","journal-title":"Communications of the ACM"},{"key":"732_CR3_732","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4615-3184-5","volume-title":"Robot learning","author":"JH Connell","year":"1993","unstructured":"Connell, J. H., & Mahadevan, S. (1993). Robot learning. Dordrecht: Kluwer Academic."},{"key":"732_CR4_732","doi-asserted-by":"crossref","DOI":"10.1002\/0471781819","volume-title":"Adaptive approximation based control. Adaptive and learning systems for signal processing, communications and control series","author":"JA Farrell","year":"2006","unstructured":"Farrell, J. A., & Polycarpou, M. M. (2006). Adaptive approximation based control. Adaptive and learning systems for signal processing, communications and control series. Hoboken: John Wiley."},{"key":"732_CR5_732","unstructured":"Ham, J., Lin, Y., & Lee, D. D. (2005). Learning nonlinear appearance manifolds for robot localization. In International conference on intelligent robots and Systems, Takamatsu, Japan."},{"key":"732_CR6_732","unstructured":"Jenkins, O., Bodenheimer, R., & Peters, R. (2006). Manipulation manifolds: Explorations into uncovering manifolds in sensory-motor spaces (8 pages). In International conference on development and learning, Bloomington,\u00a0IN"},{"key":"732_CR7_732","doi-asserted-by":"crossref","unstructured":"Kober, J., & Peters, J. (2009). Policy search for motor primitives in robotics. In Advances in neural information processing systems 22. Cambridge: MIT\u00a0Press.","DOI":"10.1109\/ROBOT.2009.5152577"},{"issue":"2","key":"732_CR8_732","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1109\/MRA.2010.937374","volume":"17","author":"J Morimoto","year":"2010","unstructured":"Morimoto, J., Toussaint, M., & Jenkins, C. (2010). Special issue on robot learning in practice. IEEE Robotics and Automation Magazine, 17(2), 17\u201384.","journal-title":"IEEE Robotics and Automation Magazine"},{"issue":"1\u20132","key":"732_CR9_732","first-page":"1","volume":"27","author":"J Peters","year":"2009","unstructured":"Peters, J., & Ng, A. (2009). Special issue on robot learning. Autonomous Robots, 27(1\u20132):1\u2013144.","journal-title":"Autonomous Robots"},{"issue":"4","key":"732_CR10_732","doi-asserted-by":"publisher","first-page":"682","DOI":"10.1016\/j.neunet.2008.02.003","volume":"21","author":"J Peters","year":"2008","unstructured":"Peters, J., & Schaal, S. (2008). Reinforcement learning of motor skills with policy gradients. Neural Networks, 21(4):682\u2013697.","journal-title":"Neural Networks"},{"issue":"1","key":"732_CR11_732","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1007\/s10514-009-9120-4","volume":"27","author":"M Riedmiller","year":"July 2009","unstructured":"Riedmiller, M., Gabel, T., Hafner, R., & Lange, S. (July 2009). Reinforcement learning for robot soccer. Autonomous Robots, 27(1):55\u201373.","journal-title":"Autonomous Robots"},{"key":"732_CR12_732","doi-asserted-by":"crossref","unstructured":"Schaal, S., Atkeson, C. G., & Vijayakumar, S. Scalable techniques from nonparameteric statistics for real-time robot learning. Applied Intelligence, 17(1):49\u201360.","DOI":"10.1023\/A:1015727715131"},{"issue":"1431","key":"732_CR13_732","doi-asserted-by":"publisher","first-page":"537","DOI":"10.1098\/rstb.2002.1258","volume":"358","author":"S Schaal","year":"2003","unstructured":"Schaal, S., Ijspeert, A., & Billard, A. (2003). Computational approaches to motor learning by imitation. Philosophical Transaction of the Royal Society of London: Series B, Biological Sciences, 358(1431):537\u2013547.","journal-title":"Philosophical Transaction of the Royal Society of London: Series B, Biological Sciences"},{"key":"732_CR14_732","doi-asserted-by":"crossref","unstructured":"Sigaud, O., & Peters, J. (2010). From motor learning to interaction learning in robots. Studies in computational intelligence (Vol. 264). Heidelberg: Springer.","DOI":"10.1007\/978-3-642-05181-4"},{"key":"732_CR15_732","doi-asserted-by":"crossref","unstructured":"Tedrake, R., Zhang, T. W., & Seung, H. S. (2004). Stochastic policy gradient reinforcement learning on a simple 3d biped. In Proceedings of the IEEE international conference on intelligent robots and systems (pp. 2849\u20132854). IROS 2004, Sendai, Japan.","DOI":"10.1109\/IROS.2004.1389841"},{"key":"732_CR16_732","volume-title":"Probabilistic robotics","author":"S Thrun","year":"2005","unstructured":"Thrun, S., Burgard, W., & Fox, D. (2005). Probabilistic robotics. Cambridge: MIT Press."}],"container-title":["Encyclopedia of Machine Learning"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-0-387-30164-8_732","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,22]],"date-time":"2023-12-22T02:59:49Z","timestamp":1703213989000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-0-387-30164-8_732"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9780387307688","9780387301648"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-0-387-30164-8_732","relation":{},"subject":[],"published":{"date-parts":[[2011]]}}}