@InCollection{raey,
Title = {A Gaussian Process Reinforcement Learning Algorithm with Adaptability and Minimal Tuning Requirements},
Author = {Strahl, Jonathan and Honkela, Timo and Wagner, Paul},
Booktitle = {Artificial Neural Networks and Machine Learning – ICANN 2014},
Publisher = {Springer International Publishing},
Year = {2014},
Editor = {Wermter, Stefan and Weber, Cornelius and Duch, Włodzisław and Honkela, Timo and Koprinkova-Hristova, Petia and Magg, Sven and Palm, Günther and Villa, AlessandroE.P.},
Pages = {371-378},
Series = {Lecture Notes in Computer Science},
Volume = {8681},
Doi = {10.1007/978-3-319-11179-7_47},
ISBN = {978-3-319-11178-0},
Keywords = {Non-parametric reinforcement learning; Gaussian processes; batch reinforcement learning; Bayesian reinforcement learning; minimal domain-expert knowledge},
Language = {English},
Url = {http://dx.doi.org/10.1007/978-3-319-11179-7_47}
}