We have recently published several *exhaustive* review papers on Robotic Reinforcement Learning (and highly related issues).
1) A general review on Robotic Reinforcement Learning: Kober, J; Bagnell, D.; Peters, J. (2013). Reinforcement Learning in Robotics: A Survey, International Journal of Robotics Research, 32(11), pp. 1236–1272. http://www.ias.tu-darmstadt.de/uploads/Publications/Kober_IJRR_2013.pdf 2) A review on Policy Search in Robotics: Deisenroth, M.; Neumann, G; Peters, J. (2013). A Survey on Policy Search for Robotics, Foundations and Trends in Robotics, 21, pp. 388–403, doi: 10.1561/2300000021 http://www.ias.tu-darmstadt.de/uploads/Site/EditPublication/PolicySearchReview.pdf 3) A review on the use of models in Robot (Reinforcement) Learning: Nguyen-Tuong, D.; Peters, J. (2011). Model Learning in Robotics: a Survey, Cognitive Processing, 12(4), pp.319–340, doi: 10.1007/s10339-011-0404-1 http://robot-learning.de/pmwiki/uploads/Publications/Nguyen_CP_2011.pdf Any feedback -- or constructive reader comments would be highly appreciated! Best wishes, Jan Peters _______________________________________________ uai mailing list [email protected] https://secure.engr.oregonstate.edu/mailman/listinfo/uai
