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The AI Seminar is a weekly meeting at the University of Alberta where researchers interested in artificial intelligence (AI) can share their research. Presenters include both local speakers from the University of Alberta and visitors from other institutions. Topics can be related in any way to artificial intelligence, from foundational theoretical work to innovative applications of AI techniques to new fields and problems.
On November 20, 2020, CNRS researcher in the CRIStAL laboratory at the University of Lille (France) Emilie Kaufmann presented “On the complexity of learning good policies with and without rewards”.
The talk focused on two performance criteria that have been studied in the context of episodic reinforcement learning: Best Policy Identification (BPI) and Reward Free Exploration. Emilie explores their uses, alternative algorithms and relative complexity.
Watch the full presentation below:
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Learn how Amii advances world-leading artificial intelligence and machine learning research: visit our Research page.
Jan 19th 2021
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As part of the January 2021 AICan, Amii is pleased to welcome 15 new Canada CIFAR AI Chairs into our research community.
Jan 15th 2021
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Check out This Month at Amii, our monthly update on Alberta’s growing machine intelligence ecosystem and opportunities to get involved!
Jan 14th 2021
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On Jan 8, 2021, Simon Fraser University Assistant Professor Mo Chen presented "Optimal Control and Machine Learning in Robotics".
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