2013
JMLR
JMLR 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 fit between the mathematics of reinforcement learning and their implementation in a library. The main concepts of rllib are presented, as well as a short example. [abs] [ pdf ][ bib ] [ code ] © JMLR 2013. (edit, beta)
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Keyword Pioneer
— template metaprogramming
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Cross-Pollinator
— Artificial Intelligence, Deep Learning, Machine Learning, Reinforcement Learning