Southwest Airlines has officially entered a new era as of January 27, 2026 - the start of assigned seating. After decades of open seating and a unique cattle call boarding process, assigned seats are ...

Abstract: This article investigates the problem of real-time task assignment with heterogeneous agents while considering resource constraints. A hierarchical reinforcement learning-based(HRL) method ...

Reinforcement Learning (RL) is a critical area of ML that allows agents to learn from their interactions within an environment by receiving feedback as rewards. A significant challenge in RL is ...

1 Secure System Platform Research Laboratories, NEC Corporation, Kawasaki, Japan 2 NEC-AIST Quantum Technology Cooperative Research Laboratory, National Institute of Advanced Industrial Science and ...

Graph theory is utilized to understand complex networks. Recent advancements in “coloring” research offer insights into optimizing network structures and potentially benefiting communication systems.

A partial eigenstructure assignment method that keeps the open-loop stable eigenvalues and the corresponding eigenspace unchanged is presented. This method generalizes a large class of systems ...

We consider a variation of the maximum bipartite matching problem where each completed task must have at least two agents assigned to it. We give an integer programming formulation for the problem, ...

Abstract: To deal with assignment problem, particle swarm optimization vector present an assignment solution, multi-person assign to multi-job problem, bin packing problem, and multi-depots vehicle ...