{"@context":"http://iiif.io/api/presentation/3/context.json","id":"https://ualberta.aviaryplatform.com/iiif/183416tx2q/manifest","type":"Manifest","label":{"en":["AI4Society Dialogues, S1E10 - Reinforcement learning and the future of AI"]},"logo":"https://d9jk7wjtjpu5g.cloudfront.net/organizations/logo_images/000/000/128/original/UA_Logo_WHT_RGB_%281%29.png?1725471982","metadata":[{"label":{"en":["Description"]},"value":{"en":["\u003cp\u003eCan we teach AI to learn from it’s own experiences? That’s the premise behind reinforcement learning. Dr. Rich Sutton in a University of Alberta Professor in computer science and one of the leading figures in AI research today. We talk about the early days of his career, why he chose to make the University of Alberta his academic home, the benefits of not chasing fads and the importance of an interdisciplinary AI research community. We also explore reinforcement learning and how it shifts not only the ways in which we develop AI, but also how we might think about our relationship with AI. \u003c/p\u003e\r\n\u003cp\u003e“The data a reinforcement learning agent uses the data it generates itself…you’re an (AI) agent, you’ve done some things, you’ve seen some things, it’s your data…that’s what you learn from (in reinforcement learning).” – Rich Sutton\u003c/p\u003e\r\n\u003cp\u003e\u003ca href=\"https://forum.ai4society.ca/index.php/Member:Richard.Sutton\"\u003eDr. Rich Sutton\u003c/a\u003e is a distinguished research scientist at DeepMind, a professor in the department of computing science at the University of Alberta and a Fellow of the Alberta Machine Intelligence Institute (Amii). He is one of the pioneers of reinforcement learning and co-authored the textbook Reinforcement Learning: An Introduction. His research interests center on the learning problems facing a decision-maker interacting with its environment, which he sees as central to artificial intelligence.\u003c/p\u003e"]}},{"label":{"en":["Rights Statement"]},"value":{"en":["\u003cp\u003e\u003ca href=\"https://creativecommons.org/licenses/by-nc-nd/4.0/\"\u003eAttribution-NonCommercial-NoDerivatives 4.0 International\u003c/a\u003e\u003c/p\u003e"]}},{"label":{"en":["Date"]},"value":{"en":["2021-05-21 (Created)","2023-02-01 (Issued)"]}},{"label":{"en":["Type"]},"value":{"en":["Podcast","Talk"]}},{"label":{"en":["Agent"]},"value":{"en":["Sutton, Rich (Presenter)","Ingram, Katrina (Host)"]}},{"label":{"en":["Subject"]},"value":{"en":["Artificial intelligence (Topical)","Reinforcement learning (Topical)"]}},{"label":{"en":["Language"]},"value":{"en":["English"]}}],"summary":{"en":["\u003cp\u003eCan we teach AI to learn from it\u0026rsquo;s own experiences? That\u0026rsquo;s the premise behind reinforcement learning. Dr. Rich Sutton in a University of Alberta Professor in computer science and one of the leading figures in AI research today. We talk about the early days of his career, why he chose to make the University of Alberta his academic home, the benefits of not chasing fads and the importance of an interdisciplinary AI research community. We also explore reinforcement learning and how it shifts not only the ways in which we develop AI, but also how we might think about our relationship with AI.\u0026nbsp;\u003c/p\u003e\r\n\u003cp\u003e\u0026ldquo;The data a reinforcement learning agent uses the data it generates itself\u0026hellip;you\u0026rsquo;re an (AI) agent, you\u0026rsquo;ve done some things, you\u0026rsquo;ve seen some things, it\u0026rsquo;s your data\u0026hellip;that\u0026rsquo;s what you learn from (in reinforcement learning).\u0026rdquo; \u0026ndash; Rich Sutton\u003c/p\u003e\r\n\u003cp\u003e\u003ca href=\"https://forum.ai4society.ca/index.php/Member:Richard.Sutton\"\u003eDr. Rich Sutton\u003c/a\u003e is a distinguished research scientist at DeepMind, a professor in the department of computing science at the University of Alberta and a Fellow of the Alberta Machine Intelligence Institute (Amii). He is one of the pioneers of reinforcement learning and co-authored the textbook Reinforcement Learning: An Introduction. His research interests center on the learning problems facing a decision-maker interacting with its environment, which he sees as central to artificial intelligence.\u003c/p\u003e"]},"requiredStatement":{"label":{"en":["Attribution"]},"value":{"en":["\u003cp\u003e\u003ca href=\"https://creativecommons.org/licenses/by-nc-nd/4.0/\"\u003eAttribution-NonCommercial-NoDerivatives 4.0 International\u003c/a\u003e\u003c/p\u003e"]}},"provider":[{"id":"https://ualberta.aviaryplatform.com/aboutus","type":"Agent","label":{"en":["University of Alberta Library"]},"homepage":[{"id":"https://ualberta.aviaryplatform.com/","type":"Text","label":{"en":["University of Alberta Library"]},"format":"text/html"}],"logo":[{"id":"https://d9jk7wjtjpu5g.cloudfront.net/organizations/logo_images/000/000/128/original/UA_Logo_WHT_RGB_%281%29.png?1725471982","type":"Image"}]}],"thumbnail":[{"id":"https://d9jk7wjtjpu5g.cloudfront.net/collection_resource_files/thumbnails/000/174/887/small/episode_10.jpg?1679947301","type":"Image","format":"image/jpeg"}],"items":[{"id":"https://ualberta.aviaryplatform.com/collections/2021/collection_resources/85947/file/174887","type":"Canvas","label":{"en":["Media File 1 of 1 - Episode_10_-_Rich_Sutton.mp3"]},"duration":2422.28245,"width":640,"height":40,"thumbnail":[{"id":"https://d9jk7wjtjpu5g.cloudfront.net/collection_resource_files/thumbnails/000/174/887/small/episode_10.jpg?1679947301","type":"Image","format":"image/jpeg"}],"items":[{"id":"https://ualberta.aviaryplatform.com/collections/2021/collection_resources/85947/file/174887/content/1","type":"AnnotationPage","items":[{"id":"https://ualberta.aviaryplatform.com/collections/2021/collection_resources/85947/file/174887/content/1/annotation/1","type":"Annotation","motivation":"painting","body":{"id":"https://aviary-p-ualberta.s3.wasabisys.com/collection_resource_files/resource_files/000/174/887/original/Episode_10_-_Rich_Sutton.mp3?1677005337","type":"Audio","format":"audio/mpeg","duration":2422.28245,"width":640,"height":40},"target":"https://ualberta.aviaryplatform.com/collections/2021/collection_resources/85947/file/174887","metadata":[]}]}],"annotations":[]}]}