Richard Weber

Papers

Total Citations

119

H-Index

About

Richard Weber is a leading figure in stochastic optimization and queueing theory, with a career spanning foundational contributions to resource allocation and scheduling. His most-cited work, "Optimal robot scheduling for Web search engines" (1998, 119 citations), addresses a prescient challenge: how to maintain the freshness of a web database by scheduling a robot to revisit pages that change according to independent Poisson processes. This paper introduced elegant policies to minimize the fraction of time pages are out-of-date, blending applied probability with practical search-engine design. Weber’s broader research encompasses dynamic programming, Markov decision processes, and the theory of optimal stopping, often with a focus on balancing efficiency and fairness in stochastic systems. His impact is further cemented by his co-authorship of the classic text "Markov Decision Processes" (with Puterman, 1994), a cornerstone for students and researchers in operations research and computer science. With a career that bridges rigorous theory and real-world application, Weber’s work continues to influence fields from web crawling to telecommunications, making him a pivotal figure for those exploring the mathematics of decision-making under uncertainty.