{"id":18165,"date":"2018-04-22T11:02:12","date_gmt":"2018-04-22T08:02:12","guid":{"rendered":"https:\/\/hgpu.org\/?p=18165"},"modified":"2018-04-22T11:02:12","modified_gmt":"2018-04-22T08:02:12","slug":"cytonrl-an-efficient-reinforcement-learning-open-source-toolkit-implemented-in-c","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=18165","title":{"rendered":"CytonRL: an Efficient Reinforcement Learning Open-source Toolkit Implemented in C++"},"content":{"rendered":"<p>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&#8217;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.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>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&#8217;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 [&hellip;]<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[11,89,3],"tags":[117,1782,14,1673,1025,34,20,1439,176],"class_list":["post-18165","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-nvidia-cuda","category-paper","tag-artificial-intelligence","tag-computer-science","tag-cuda","tag-deep-learning","tag-machine-learning","tag-neural-networks","tag-nvidia","tag-opencv","tag-package"],"views":2395,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/18165","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/users\/351"}],"replies":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=18165"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/18165\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=18165"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=18165"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=18165"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}