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Journal Articles Journal of Machine Learning Research Year : 2013

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

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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Dates and versions

hal-00914768 , version 1 (06-12-2013)

Identifiers

  • HAL Id : hal-00914768 , version 1

Cite

Hervé Frezza-Buet, Matthieu Geist. A C++ Template-Based Reinforcement Learning Library: Fitting the Code to the Mathematics. Journal of Machine Learning Research, 2013, 14 (1), pp.625-628. ⟨hal-00914768⟩
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