activity
20212024
most citedDeep Reinforcement Learning for Picker Routing Problem in Warehousing

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

math.OC2024

A Modified Algorithm for Optimal Picker Routing in a Single Block Warehouse

George Dunn, Hadi Charkhgard, Ali Eshragh +1

The order picker routing problem involves finding the optimal tour of a warehouse that collects all the required items on a given pick list. Ratliff and Rosenthal introduced a dyna…

math.ST2024

Optimal Experimental Design for Partially Observable Pure Birth Processes

Ali Eshragh, Matthew P. Skerritt, Bruno Salvy +1

We develop an efficient algorithm to find optimal observation times by maximizing the Fisher information for the birth rate of a partially observable pure birth process involving $…

cs.LG20242 cited

Deep Reinforcement Learning for Picker Routing Problem in Warehousing

George Dunn, Hadi Charkhgard, Ali Eshragh +2

Order Picker Routing is a critical issue in Warehouse Operations Management. Due to the complexity of the problem and the need for quick solutions, suboptimal algorithms are freque…

stat.ML2023

SALSA: Sequential Approximate Leverage-Score Algorithm with Application in Analyzing Big Time Series Data

Ali Eshragh, Luke Yerbury, Asef Nazari +2

We develop a new efficient sequential approximate leverage score algorithm, SALSA, using methods from randomized numerical linear algebra (RandNLA) for large matrices. We demonstra…

stat.ML2021

Toeplitz Least Squares Problems, Fast Algorithms and Big Data

Ali Eshragh, Oliver Di Pietro, Michael A. Saunders

In time series analysis, when fitting an autoregressive model, one must solve a Toeplitz ordinary least squares problem numerous times to find an appropriate model, which can sever…