collaborators

5 papers

cs.GT2026

Truth, Justice, and Secrecy: Cake Cutting Under Privacy Constraints

Yaron Salman, Tamir Tassa, Omer Lev +1

Cake-cutting algorithms, which aim to fairly allocate a continuous resource based on individual agent preferences, have seen significant progress over the past two decades. Much of…

cs.AI2025

Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields

Arseniy Pertzovsky, Roni Stern, Ariel Felner +1

We explore the use of Artificial Potential Fields (APFs) to solve Multi-Agent Path Finding (MAPF) and Lifelong MAPF (LMAPF) problems. In MAPF, a team of agents must move to their g…

cs.MA2025

Multi-Agent Corridor Generating Algorithm

Arseniy Pertzovsky, Roni Stern, Roie Zivan +1

In this paper, we propose the Multi-Agent Corridor Generating Algorithm (MACGA) for solving the Multi-agent Pathfinding (MAPF) problem, where a group of agents need to find non-col…

cs.AI2025

Latency-Aware 2-Opt Monotonic Local Search for Distributed Constraint Optimization

Ben Rachmut, Roie Zivan, William Yeoh

Researchers recently extended Distributed Constraint Optimization Problems (DCOPs) to Communication-Aware DCOPs so that they are applicable in scenarios in which messages can be ar…

cs.AI2025

Explainable Distributed Constraint Optimization Problems

Ben Rachmut, Stylianos Loukas Vasileiou, Nimrod Meir Weinstein +2

The Distributed Constraint Optimization Problem (DCOP) formulation is a powerful tool to model cooperative multi-agent problems that need to be solved distributively. A core assump…