Workshop

Complex feedback in online learning

Rémy Degenne · Pierre Gaillard · Wouter Koolen · Aadirupa Saha

Room 314 - 315

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.

Chat is not available.
Timezone: America/Los_Angeles »

Schedule