Arthur Queffelec

2 accepted papers

2026

Nested Depth Search

Junkang Li, Tristan Cazenave, Swann Legras, Arthur Queffelec, Veronique Ventos

AAAI 2026technical

Nested Monte Carlo Search (NMCS) has numerous applications, ranging from chemical retrosynthesis to quantum circuit design. We propose a generalization of NMCS that we named Nested Depth Search (NDS), in which a fixed depth search is used during a higher-level playout to generate the states sent to

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2021

Connect Multi-Agent Path Finding: Generation and Visualization

Arthur Queffelec, Ocan Sankur, Francois Schwarzentruber

IJCAI 2021poster

We present a generic tool to visualize missions of the Connected Multi-Agent Path Finding (CMAPF) problem. This problem is a variant of MAPF which requires a group of agents to navigate from an initial configuration to a goal configuration while maintaining connection. The user can create an instan…

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