A C++ Template-Based Reinforcement Learning Library: Fitting the Code to the Mathematics
Hervé Frezza-Buet, Matthieu Geist; 14(Feb):625−628, 2013.
Abstract
This paper introduces therllib 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] [code][mloss.org]
