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.
Domains
Machine Learning [cs.LG]Origin | Files produced by the author(s) |
---|
Loading...