{"id":502265,"date":"2018-09-04T21:03:07","date_gmt":"2018-09-05T04:03:07","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&p=502265"},"modified":"2019-08-14T17:44:38","modified_gmt":"2019-08-15T00:44:38","slug":"reinforcement-learning-day","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/reinforcement-learning-day\/","title":{"rendered":"Reinforcement Learning Day"},"content":{"rendered":"
Venue:<\/strong> New York University<\/p>\n Contact:<\/strong> For event questions, please contact msrevent@microsoft.com<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" Reinforcement learning is the problem of building systems that can learn behaviors in an environment, based only on an external reward. At this symposium, we\u2019ll hear from speakers who are experts in a range of topics related to reinforcement learning, from theoretical developments, to real world applications in robotics, healthcare, and beyond.<\/p>\n","protected":false},"featured_media":504785,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_startdate":"2018-09-24","msr_enddate":"2018-09-24","msr_location":"New York City, NY","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"","msr_event_link_redirect":false,"msr_event_time":"9:00 AM\u20135:15 PM","msr_hide_region":false,"msr_private_event":false,"footnotes":""},"research-area":[13556,13547],"msr-region":[197900],"msr-event-type":[197947],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-502265","msr-event","type-msr-event","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-research-area-systems-and-networking","msr-region-north-america","msr-event-type-universities","msr-locale-en_us"],"msr_about":"Venue:<\/strong> New York University\r\n\r\nContact:<\/strong> For event questions, please contact msrevent@microsoft.com<\/a>","tab-content":[{"id":0,"name":"About","content":"Reinforcement Learning Day 2018 will share the latest research on learning to make decisions based on feedback.\r\n\r\nReinforcement learning is the study of decision making with consequences over time. The topic draws together multi-disciplinary efforts from computer science, cognitive science, mathematics, psychology, economics, control theory, and neuroscience. The common thread through all of these studies is: how do natural and artificial systems learn to make decisions in complex environments based on external, and possibly delayed, feedback.\r\n\r\nThis workshop features talks by nine outstanding speakers whose research covers a broad swath of the topic, from statistics to psychology, from computer science to control. A key objective is to bring together the research communities of all these areas to learn from each other and build on the latest knowledge.\r\n Hal Daum\u00e9 III<\/a>, Microsoft Research\r\nAkshay Krishnamurthy<\/a>, Microsoft Research<\/p>\r\n\r\n Shipra Agrawal<\/a>, Columbia University\r\nByron Boots<\/a>, Georgia Institute of Technology\r\nMarc-Alexandre C\u00f4t\u00e9<\/a>, Microsoft Research\r\nDebadeepta Dey<\/a>, Microsoft Research\r\nMiro Dud\u00edk<\/a>, Microsoft Research\r\nCatherine Hartley<\/a>, New York University\r\nRaia Hadsell<\/a>, Google DeepMind\r\nKatja Hofmann<\/a>, Microsoft Research\r\nMichael Littman<\/a>, Brown University<\/p>\r\n\r\nCommittee Chairs<\/h3>\r\n
Speakers<\/h3>\r\n
Local Organizer<\/h3>\r\n