No-regret Dynamics for Multi-agent Learning

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• Alexander Terenin (University of Cambridge)
• Wednesday 12 April 2023, 11:00-12:30
• Cambridge University Engineering Department, CBL Seminar room BE4-38..

If you have a question about this talk, please contact James Allingham.

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.

We review multi-agent learning, including equilibrium concepts such as Nash equilibrium and correlated equilibrium, as well as online-learning-based algorithms for computing them such as no-regret dynamics. These techniques were instrumental in the recent breakthrough of human-level performance in the board game Diplomacy by a computer.

Preparatory reading: Tim Roughgarden, Twenty Lectures on Algorithmic Game Theory, Ch. 17. https://theory.stanford.edu/~tim/f13/l/l17.pdf

This talk is part of the Machine Learning Reading Group @ CUED series.

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