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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 twelve of the Tea Time Talks features:
Intrinsic motivation and general value functions (GVFs) are two exciting areas in the field of reinforcement learning. In this talk, Matthew discusses the intersection of these two subfields and why they may be complementary to each other. He analyzes this problem with a tabular Markov decision process (MDP) and discusses interesting initial results.
In this talk, Shiva talks about reinforcement learning for robotics, and how we can improve training. She proposes a method to narrow down the reality gap in a simulated environment using an adversarial agent that generates creative novel environments.
A one-step expectation model of the environment dynamics produces an estimate of the expected next state. This is less general than estimating the full distribution of possible next states (or a random sample thereof) and more general than modeling the world as deterministic. Expectation models are limited in the kinds of planning operations and value-function approximations they can use, but are well suited to being learned. In this talk, Katya discusses what is known about expectation models in the context of model-based reinforcement learning and states that are non-Markov. She shows that planning with expectation models can be done only with state values and not action values.
The Tea Time Talks have now concluded for the year! Rewatch or catch up on previous talks on our Youtube playlist.
Sep 11th 2024
News
Amii is pleased to partner with Medtronic, Rehabtronics and a consortium of healthcare innovation experts to launch PressureSmart, a $22M project that aims to leverage AI-powered depth-sensing cameras to transform the prevention and management of pressure injuries in Canadian healthcare settings.
Sep 11th 2024
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Learn more about the research and work of Amii Fellow and Canada CIFAR AI Chair Matt Guzdial and his work on artificial intelligence and investigates how artificial intelligence can support human creativity.
Sep 5th 2024
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Martha White — an Amii Fellow and Canada CIFAR AI Chair — has been admitted to the College of New Scholars, Artists and Scientists by the Royal Society of Canada for her research accomplishments in artificial intelligence.
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