CytonRL: an Efficient Reinforcement Learning Open-source Toolkit Implemented in C++
National Institute of Information and Communications Technology, Japan
arXiv:1804.05834 [cs.LG], (14 Apr 2018)
@article{wang2018cytonrl,
title={CytonRL: an Efficient Reinforcement Learning Open-source Toolkit Implemented in C++},
author={Wang, Xiaolin},
year={2018},
month={apr},
archivePrefix={"arXiv"},
primaryClass={cs.LG}
}
This paper presents an open-source enforcement learning toolkit named CytonRL. The toolkit implements four recent advanced deep Q-learning algorithms from scratch using C++ and NVIDIA’s GPU-accelerated libraries. The code is simple and elegant, owing to an open-source general-purpose neural network library named CytonLib. Benchmark shows that the toolkit achieves competitive performances on the popular Atari game of Breakout.
April 22, 2018 by hgpu
