C++ Template-Based Reinforcement Learning Library: Fitting the Code to the Mathematics
Hervé Frezza-Buet, Matthieu Geist; 14(Feb):625−628, 2013.
AbstractThis paper introduces the
rllibas 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
rllibare presented, as well as a short example.