{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/cytonrl-an-efficient-reinforcement-learning","title":"CytonRL: an Efficient Reinforcement Learning Open-source Toolkit Implemented in C++","arxiv_id":"1804.05834","date":"2018-04-14","proceeding":null,"authors":["Xiaolin Wang"],"abstract":"This paper presents an open-source enforcement learning toolkit named CytonRL\n(https://github.com/arthurxlw/cytonRL). The toolkit implements four recent\nadvanced deep Q-learning algorithms from scratch using C++ and NVIDIA's\nGPU-accelerated libraries. The code is simple and elegant, owing to an\nopen-source general-purpose neural network library named CytonLib. Benchmark\nshows that the toolkit achieves competitive performances on the popular Atari\ngame of Breakout.","url_abs":"http://arxiv.org/abs/1804.05834v1","url_pdf":"http://arxiv.org/pdf/1804.05834v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"cytonrl-an-efficient-reinforcement-learning","repo_url":"https://github.com/arthurxlw/cytonRL","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":null,"task_name":"GPU"},{"task_slug":"q-learning","task_name":"Q-Learning"},{"task_slug":"reinforcement-learning","task_name":"Reinforcement Learning"},{"task_slug":"reinforcement-learning-1","task_name":"Reinforcement Learning (RL)"},{"task_slug":"reinforcement-learning-2","task_name":"reinforcement-learning"}],"methods":[{"method_slug":"q-learning","method_name":"Q-Learning"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}