activity
20152026
most citedSolving the Order Batching and Sequencing Problem using Deep Reinforcement Learning

61 citations · 151 across the 15 of their papers we have counts for

collaborators

16 papers

cs.LG2026

Discovery of Decision Synchronization Patterns from Event Logs

Tijmen Kuijpers, Karolin Winter, Remco Dijkman

Synchronizing decisions between running cases in business processes facilitates fair and efficient use of resources, helps prioritize the most valuable cases, and prevents unnecess…

cs.AI2025

A Universal Approach to Feature Representation in Dynamic Task Assignment Problems

Riccardo Lo Bianco, Remco Dijkman, Wim Nuijten +1

Dynamic task assignment concerns the optimal assignment of resources to tasks in a business process. Recently, Deep Reinforcement Learning (DRL) has been proposed as the state of t…

cs.AI2025

GymPN: A Library for Decision-Making in Process Management Systems

Riccardo Lo Bianco, Willem van Jaarsveld, Remco Dijkman

Process management systems support key decisions about the way work is allocated in organizations. This includes decisions on which task to perform next, when to execute the task,…

cs.AI2023★ 4 cited

Interactive Multi Interest Process Pattern Discovery

Mozhgan Vazifehdoostirani, Laura Genga, Xixi Lu +3

Process pattern discovery methods (PPDMs) aim at identifying patterns of interest to users. Existing PPDMs typically are unsupervised and focus on a single dimension of interest, s…

cs.AI2023★ 1 cited

Action-Evolution Petri Nets: a Framework for Modeling and Solving Dynamic Task Assignment Problems

Riccardo Lo Bianco, Remco Dijkman, Wim Nuijten +1

Dynamic task assignment involves assigning arriving tasks to a limited number of resources in order to minimize the overall cost of the assignments. To achieve optimal task assignm…

cs.AI2023★ 4 cited

Learning policies for resource allocation in business processes

J. Middelhuis, R. Lo Bianco, E. Scherzer +3

Efficient allocation of resources to activities is pivotal in executing business processes but remains challenging. While resource allocation methodologies are well-established in…