AI Seminar Series 2022: Rishabh Agarwal

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:

Keep up-to-date on the AI Seminar Series by signing up for the mailing list.

Learn how Amii advances world-leading artificial intelligence and machine learning research: visit our Research page.