Connectionists: Review Papers on Robotic Reinforcement Learning

[Jan Peters]

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