  In this paper, we introduce ChainerRL, an open-source deep reinforcement
learning (DRL) library built using Python and the Chainer deep learning
framework. ChainerRL implements a comprehensive set of DRL algorithms and
techniques drawn from state-of-the-art research in the field. To foster
reproducible research, and for instructional purposes, ChainerRL provides
scripts that closely replicate the original papers' experimental settings and
reproduce published benchmark results for several algorithms. Lastly, ChainerRL
offers a visualization tool that enables the qualitative inspection of trained
agents. The ChainerRL source code can be found on GitHub:
https://github.com/chainer/chainerrl.

Machine Learning;Artificial Intelligence;Machine Learning