NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:315
Title:Staying up to Date with Online Content Changes Using Reinforcement Learning for Scheduling

This paper presents an RL-approach for optimizing web crawling strategy by modeling freshness of the remote content. Reviewers were unanimously in favor of accepting the paper, appreciating the formulation of the problem and the extent of the scale of experiments.