Herke van Hoof

A Survey of Exploration Methods in Reinforcement Learning

2021 · arXiv (Cornell University)

Exploration is an essential component of reinforcement learning algorithms, where agents need to learn how to predict and control unknown and often stochastic environments. Reinforcement learning agents depend crucially on exploration to obtain informative data …

BanditSum: Extractive Summarization as a Contextual Bandit

2018

In this work, we propose a novel method for training neural networks to perform singledocument extractive summarization without heuristically-generated extractive labels. We call our approach BANDITSUM as it treats extractive summarization as a contextual bandit …