18165

CytonRL: an Efficient Reinforcement Learning Open-source Toolkit Implemented in C++

Xiaolin Wang
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.
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