A C++ Template-Based Reinforcement Learning Library: Fitting the Code to the Mathematics

Hervé Frezza-Buet 1 Matthieu Geist 1
1 IMS - Equipe Information, Multimodalité et Signal
UMI2958 - Georgia Tech - CNRS [Metz], SUPELEC-Campus Metz
Abstract : This paper introduces the rllib as an original C++ template-based library oriented toward value function estimation. Generic programming is promoted here as a way of having a good t between the mathematics of reinforcement learning and their implementation in a library. Main concepts of rllib are presented, as well as a short example.
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Submitted on : Friday, December 6, 2013 - 9:15:53 AM
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Hervé Frezza-Buet, Matthieu Geist. A C++ Template-Based Reinforcement Learning Library: Fitting the Code to the Mathematics. Journal of Machine Learning Research, Microtome Publishing, 2013, 14 (1), pp.625-628. ⟨hal-00914768⟩

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