AI Seminar Series 2022: Dustin Morrill

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 June 17, 2022, Dustin Morrill, PhD student at the University of Alberta, presented "Hindsight Rational Learning for Sequential Decision-Making," at the AI Seminar.

Morrill’s presentation lays out foundations for the development of dependable, scalable reinforcement learning algorithms with strong connections to game theory. A key contribution is a proposal for a rationality objective for reinforcement learning that is grounded in the learner's experience and is connected with the rationality concepts of optimality and equilibrium. This notion of "hindsight rationality" is based on regret, a well-known concept for evaluating a sequence of decisions with unilateral deviations, and it demands resiliency to uncertainty, environmental changes, and adversarial pressures. Morrill will describe how particular natural sets of deviations can be constructed specifically for sequential decision-making settings to overcome computational challenges. The presentation provides the conceptual, theoretical, and algorithmic bases for practical research directions toward the advancement of both single and multi-agent reinforcement learning.

Watch the full presentation below:

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