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Oren Salzman

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.MA3
  • cs.AI1
same name
  • Oren Salzman — 12 papers, h 19
  • Oren Salzman — 7 papers
  • Oren Salzman — 6 papers
  • Oren Salzman — 1 paper, h 3
  • Oren Salzman — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedLeveraging Experience in Lifelong Multi-Agent Pathfinding

4 citations · 4 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2022

Multi-Agent Terraforming: Efficient Multi-Agent Path Finding via Environment Manipulation

David Vainshtein, Kiril Solovey, Oren Salzman

Multi-agent pathfinding (MAPF) is concerned with planning collision-free paths for a team of agents from their start to goal locations in an environment cluttered with obstacles. T…

cs.MA2022★ 4 cited

Leveraging Experience in Lifelong Multi-Agent Pathfinding

Nitzan Madar, Kiril Solovey, Oren Salzman

In Lifelong Multi-Agent Path Finding (L-MAPF) a team of agents performs a stream of tasks consisting of multiple locations to be visited by the agents on a shared graph while avoid…

cs.MA2021

Cooperative Multi-Agent Path Finding: Beyond Path Planning and Collision Avoidance

Nir Greshler, Ofir Gordon, Oren Salzman +1

We introduce the Cooperative Multi-Agent Path Finding (Co-MAPF) problem, an extension to the classical MAPF problem, where cooperative behavior is incorporated. In this setting, a…

cs.MA2021

Revisiting the Complexity Analysis of Conflict-Based Search: New Computational Techniques and Improved Bounds

Ofir Gordon, Yuval Filmus, Oren Salzman

The problem of Multi-Agent Path Finding (MAPF) calls for finding a set of conflict-free paths for a fleet of agents operating in a given environment. Arguably, the state-of-the-art…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.