  This paper presents an open-source enforcement learning toolkit named CytonRL
(https://github.com/arthurxlw/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.
