Fall 2020

Theory of Reinforcement Learning Reunion

Nov 15, 2021 to Nov 18, 2021 

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Csaba Szepesvari (University of Alberta, Google DeepMind; chair), Emma Brunskill (Stanford University), Sébastien Bubeck (Microsoft Research), Alan Malek (DeepMind), Sean Meyn (University of Florida), Ambuj Tewari (University of Michigan), Mengdi Wang (Princeton University)

This reunion workshop is for long-term participants in the program on Theory of Reinforcement Learning, held in the Fall 2020 semester. It will provide an opportunity to meet old and new friends. Moreover, we hope that it will give everyone a chance to reflect on the progress made during the semester and since, and sketch which directions the field should go in the future. In an effort to keep things informal and to encourage open discussion, none of the activities will be recorded. Participation in this workshop is by invitation only.

Given current public health directives from state, local, and university authorities, all participants in Simons Institute events must be prepared to demonstrate proof of full vaccination: a vaccination card or photo of the card along with a valid photo ID, or a green Campus Access Badge via the UC Berkeley Mobile app (additional details regarding proof of vaccination can be found here).

If you require accommodation for communication, please contact our Access Coordinator at simonsevents [at] with as much advance notice as possible.