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Probabilistic Inference for Determining Options in Reinforcement Learning
@article{DanHooPetNeu16, title = {Probabilistic Inference for Determining Options in Reinforcement Learning}, journal = {Machine Learning, Special Issue}, volume = {104}, number = {2}, pages = {337--357}, editors = {G{\"a}rtner, T., Nanni, M., Passerini, A. and Robardet, C.}, year = {2016}, note = {Best Student Paper Award of ECML-PKDD 2016}, slug = {danhoopetneu16}, author = {Daniel, C. and van Hoof, H. and Peters, J. and Neumann, G.} }