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The 2022 schedule is still incomplete
Sat Jul 23 12:00 AM -- 12:00 AM (PDT) @ Room 314 - 315
Complex feedback in online learning
Rémy Degenne · Pierre Gaillard · Wouter Koolen · Aadirupa Saha

While online learning has become one of the most successful and studied approaches in machine learning, in particular with reinforcement learning, online learning algorithms still interact with their environments in a very simple way.The complexity and diversity of the feedback coming from the environment in real applications is often reduced to the observation of a scalar reward. More and more researchers now seek to exploit fully the available feedback to allow faster and more human-like learning.This workshop aims to present a broad overview of the feedback types being actively researched, highlight recent advances and provide a networking forum for researchers and practitioners.