{"id":705946,"date":"2020-11-16T00:14:01","date_gmt":"2020-11-16T08:14:01","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-group&p=705946"},"modified":"2022-03-28T01:58:53","modified_gmt":"2022-03-28T08:58:53","slug":"deep-and-reinforcement-learning-group","status":"publish","type":"msr-group","link":"https:\/\/www.microsoft.com\/en-us\/research\/group\/deep-and-reinforcement-learning-group\/","title":{"rendered":"Deep and Reinforcement Learning Group"},"content":{"rendered":"
The Deep and Reinforcement Learning Group at Microsoft Research Asia pushes forward the research of deep learning and reinforcement learning from both algorithmic and practical aspects. Our interests include<\/p>\n
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Our dual learning (opens in new tab)<\/span><\/a> and other techniques helped Microsoft achieve human parity in Chinese-English (opens in new tab)<\/span><\/a> news translation in 2018, and win the first place for 8 translation tasks (opens in new tab)<\/span><\/a> in WMT 2019. We built the world-best Mahjong AI (opens in new tab)<\/span><\/a>, named Suphx (opens in new tab)<\/span><\/a>, which achieved 10 DAN on the Tenhou platform in mid 2019. Our FastSpeech (opens in new tab)<\/span><\/a> model is the backbone of Azure TTS (opens in new tab)<\/span><\/a> and has supported 50+ languages\/locals and 80+ voices.<\/p>\n","protected":false},"excerpt":{"rendered":" The Deep and Reinforcement Learning Group at Microsoft Research Asia pushes forward the research of deep learning and reinforcement learning from both algorithmic and practical aspects. Our interests include Deep representation learning, with focus on sequence to sequence learning and applications to machine translation, speech synthesis and recognition, music understanding and composition, pre-training, etc. Deep […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_group_start":"","footnotes":""},"research-area":[13556],"msr-group-type":[243694],"msr-locale":[268875],"msr-impact-theme":[],"class_list":["post-705946","msr-group","type-msr-group","status-publish","hentry","msr-research-area-artificial-intelligence","msr-group-type-group","msr-locale-en_us"],"msr_group_start":"","msr_detailed_description":"","msr_further_details":"","msr_hero_images":[],"msr_research_lab":[199560],"related-researchers":[{"type":"user_nicename","display_name":"Tao Qin","user_id":33871,"people_section":"Section name 0","alias":"taoqin"},{"type":"user_nicename","display_name":"Li Zhao","user_id":36152,"people_section":"Section name 0","alias":"lizo"},{"type":"user_nicename","display_name":"Yingce Xia","user_id":37784,"people_section":"Section name 0","alias":"yinxia"},{"type":"user_nicename","display_name":"Shufang Xie","user_id":39886,"people_section":"Section name 0","alias":"shufxi"},{"type":"user_nicename","display_name":"Rui Wang","user_id":39880,"people_section":"Section name 0","alias":"ruiwa"},{"type":"user_nicename","display_name":"Jindong Wang","user_id":38455,"people_section":"Section name 0","alias":"jindwang"},{"type":"user_nicename","display_name":"Chang Liu","user_id":39889,"people_section":"Section name 0","alias":"changliu"},{"type":"user_nicename","display_name":"Renqian Luo","user_id":40441,"people_section":"Section name 0","alias":"renqianluo"},{"type":"user_nicename","display_name":"Guoqing Liu","user_id":40438,"people_section":"Section name 0","alias":"guoqingliu"},{"type":"user_nicename","display_name":"Junliang Guo","user_id":41188,"people_section":"Section name 0","alias":"junliangguo"}],"related-publications":[853242,905004,758137,758143,846901],"related-downloads":[],"related-videos":[],"related-projects":[708421,707674,558228,707419,707626,558237,558162,558135],"related-events":[],"related-opportunities":[],"related-posts":[],"tab-content":[],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/705946"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-group"}],"version-history":[{"count":5,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/705946\/revisions"}],"predecessor-version":[{"id":707434,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/705946\/revisions\/707434"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=705946"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=705946"},{"taxonomy":"msr-group-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group-type?post=705946"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=705946"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=705946"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}