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

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

14 Apr 2018arXiv:1804.05834archive 2025-07-28

Xiaolin Wang

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.

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Q-LearningReinforcement LearningReinforcement Learning (RL)reinforcement-learning

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Q-Learning

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