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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 July 29, Rishabh Agarwal, a research scientist with Google Brain, presented "How to Avoid Fooling Ourselves in Deep RL research" at the AI Seminar.
Agarwal discusses work published at NeurIPS’21, which received an outstanding paper award, where he finds that statistical issues have a large influence on reported results on widely-used RL benchmarks. To help researchers do good and reliable science, he discusses how to reliably evaluate and report performance on reinforcement learning (and ML) benchmarks, especially when using only a handful of runs. See agarwl.github.io/rliable for details.
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.
May 16th 2024
News
Amii and New Harvest are excited to announce phase two of their research collaboration focused on applications of artificial intelligence and machine learning in cellular agriculture. The new phase initiates a year-long project with an open call to researchers and experts specializing in cellular agriculture and machine learning who want to apply ML solutions to solve the challenges in the field.
May 7th 2024
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Check out the advancements being presented by Amii researchers at the 2024 International Conference on Learning Representation.
May 2nd 2024
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Read our monthly update on Alberta’s growing machine intelligence ecosystem and exciting opportunities to get involved.
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