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20152025
most citedOptimal Solving of Constrained Path-Planning Problems with Graph Convolutional Networks and Optimized Tree Search

14 citations · 52 across the 23 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.GT2022★ 1 cited

Sequential Elimination Voting Games

Ulysse Pavloff, Tristan Cazenave, Jérôme Lang

Voting by sequential elimination is a low-communication voting protocol: voters play in sequence and eliminate one or more of the remaining candidates, until only one remains. Whil…

cs.AI2022★ 1 cited

Nested Search versus Limited Discrepancy Search

Tristan Cazenave

Limited Discrepancy Search (LDS) is a popular algorithm to search a state space with a heuristic to order the possible actions. Nested Search (NS) is another algorithm to search a…

cs.AI2022

Refutation of Spectral Graph Theory Conjectures with Monte Carlo Search

Milo Roucairol, Tristan Cazenave

We demonstrate how Monte Carlo Search (MCS) algorithms, namely Nested Monte Carlo Search (NMCS) and Nested Rollout Policy Adaptation (NRPA), can be used to build graphs and find co…

cs.AI2022★ 1 cited

Planning and Learning: Path-Planning for Autonomous Vehicles, a Review of the Literature

Kevin Osanlou, Christophe Guettier, Tristan Cazenave +1

This short review aims to make the reader familiar with state-of-the-art works relating to planning, scheduling and learning. First, we study state-of-the-art planning algorithms.…

cs.AI2022

Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability using Tree Search and Graph Neural Networks

Kevin Osanlou, Jeremy Frank, Andrei Bursuc +4

Planning under uncertainty is an area of interest in artificial intelligence. We present a novel approach based on tree search and graph machine learning for the scheduling problem…