AI Seminar Series 2024: Guni Sharon

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 10, Dr. Guni Sharon — Assistant Professor, Texas A&M University — presented “Exploring in Sparse-Reward Domains" at the AI Seminar.

Abstract:
Sparse-reward domains pose significant challenges in reinforcement learning (RL) due to the rarity of feedback signals, making it difficult for agents to learn effective policies. This talk delves into the intricacies of exploration in such environments, balancing the need to explore new possibilities with exploiting known rewards—a dilemma known as the explore-exploit tradeoff. Attendees will gain insights into cutting-edge exploration techniques, practical challenges, and innovative solutions, equipping them with the knowledge to tackle sparse-reward problems in their own RL research and applications.

Watch the full presentation below:

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