ChainerRL: A Deep Reinforcement Learning Library
Journal of Machine Learning Research(2019)
摘要
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 the 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\u0027 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: this https URL .
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关键词
reinforcement learning, deep reinforcement learning, reproducibility, open source software, chainer
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