Workshop

Complex feedback in online learning

Rémy Degenne · Pierre Gaillard · Wouter Koolen · Aadirupa Saha

Room 314 - 315
Abstract Workshop Website
Sat 23 Jul, 5:45 a.m. PDT

Abstract:

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.

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Timezone: America/Los_Angeles »

Schedule