{"id":191946,"date":"2014-12-10T00:00:00","date_gmt":"2015-02-10T14:37:09","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/nips-spotlight-session-7-reinforcement-learning-spotlights\/"},"modified":"2025-08-04T20:31:59","modified_gmt":"2025-08-05T03:31:59","slug":"nips-spotlight-session-7-reinforcement-learning-spotlights","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/nips-spotlight-session-7-reinforcement-learning-spotlights\/","title":{"rendered":"NIPS: Spotlight Session 7: Reinforcement Learning Spotlights"},"content":{"rendered":"<div class=\"asset-content\">\n<p>B. Piot, M. Geist, O. Pietquin<br \/>\nDifference of Convex Functions Programming for Reinforcement Learning<\/p>\n<p>S. Levine, P. Abbeel<br \/>\nLearning Neural Network Policies with Guided Policy Search under Unknown Dynamics<\/p>\n<p>I. Osband, B. Van Roy<br \/>\nNear-optimal Reinforcement Learning in Factored MDPs<\/p>\n<p>Y. Grinberg, D. Precup, M. Gendreau<br \/>\nOptimizing Energy Production Using Policy Search and Predictive State Representations<\/p>\n<p>M. Petrik, D. Subramanian<br \/>\nRAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning<\/p>\n<p>M. Nickel, X. Jiang, V. Tresp<br \/>\nReducing the Rank in Relational Factorization Models by Including Observable Patterns<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>B. Piot, M. Geist, O. Pietquin Difference of Convex Functions Programming for Reinforcement Learning S. Levine, P. Abbeel Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics I. Osband, B. Van Roy Near-optimal Reinforcement Learning in Factored MDPs Y. Grinberg, D. Precup, M. Gendreau Optimizing Energy Production Using Policy Search and Predictive State [&hellip;]<\/p>\n","protected":false},"featured_media":1146566,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_hide_image_in_river":null,"footnotes":""},"research-area":[13556],"msr-video-type":[],"msr-locale":[268875],"msr-post-option":[],"msr-session-type":[],"msr-impact-theme":[],"msr-pillar":[],"msr-episode":[],"msr-research-theme":[],"class_list":["post-191946","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/BS7iciws3DI","msr_secondary_video_url":"","msr_video_file":"http:\/\/0","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/191946","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":1,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/191946\/revisions"}],"predecessor-version":[{"id":1146569,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/191946\/revisions\/1146569"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/1146566"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=191946"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=191946"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=191946"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=191946"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=191946"},{"taxonomy":"msr-session-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-session-type?post=191946"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=191946"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=191946"},{"taxonomy":"msr-episode","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-episode?post=191946"},{"taxonomy":"msr-research-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-theme?post=191946"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}