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Now that the 2020 Tea Time Talks are on Youtube, you can always have time for tea with Amii and the RLAI Lab! Hosted by Amii’s Chief Scientific Advisory Dr. Richard S. Sutton, these 20-minute talks on technical topics are delivered by students, faculty and guests. The talks are a relaxed and informal way of hearing leaders in AI discuss future lines of research they may explore, with topics ranging from ideas starting to take root to fully-finished projects.
Week two of the Tea Time Talks features:
In his talk, Roshan explains how to solve the planning problem in MDPs using linear value function approximation with only weak requirements: low approximation error for the optimal value function, and a small set of “core” states whose features span those of other states. He then introduces an algorithm that produces almost-optimal actions for any state using a generative oracle (simulator) for the MDP, while its computation time scales polynomially with the number of features, core states, and actions and the effective horizon.
When we think about deploying RL algorithms to real-world problems, we often can’t generate years worth of data with a simulator (e.g., OpenAI Five). What is an agent to do? Matt’s talk highlights some of the ways we can leverage existing data, existing agents, and people, to motivate why we should be thinking about helping our agent succeed as quickly as possible.
Researchers have been studying search and learning problems for decades. In his talk, Martin explores old ideas and questions around these topics, including scaling up and generalization.
Watch the Tea Time Talks live online this year, Monday through Thursday from 4:15 – 4:45 p.m. MT. Each talk will be conducted here (please note that if you are accessing the chat from an email ID outside the domain of ualberta.ca, you may have to wait a few seconds for someone inside the meeting to let you in). You can take a look at the full schedule to find talks that interest you, subscribe to the RLAI mailing list or catch up on previous talks on the Youtube playlist.
May 11th 2023
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Russ Greiner — Amii Fellow, Canada CIFAR AI Chair and one of the founding members of Amii — is being recognized for his outstanding contribution to furthering computing science with a Lifetime Achievement Award in Computing Science from CS-Can | Info-Can.
May 3rd 2023
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On April 14, Sunil Vedula—founder of Nanoprecise Sci Corp — presented “IoT + AI enabled predictive maintenance & operational excellence for asset intensive industries ’" at the AI Seminar.
May 2nd 2023
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All are invited to attend the multi-day event, with diverse programming catered for AI researchers, industry leaders, pop culture enthusiasts and anyone who has ever been curious about artificial intelligence.
Looking to build AI capacity? Need a speaker at your event?