3 papers
cs.AI2025
Pareto-NRPA: A Novel Monte-Carlo Search Algorithm for Multi-Objective Optimization
Noé Lallouet, Tristan Cazenave, Cyrille Enderli
We introduce Pareto-NRPA, a new Monte-Carlo algorithm designed for multi-objective optimization problems over discrete search spaces. Extending the Nested Rollout Policy Adaptation…
eess.SP2025
Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search
Noé Lallouet, Tristan Cazenave, Cyrille Enderli +1
Recent research works establish deep neural networks as high performing tools for radar target detection, especially on challenging environments (presence of clutter or interferenc…
cs.AI2024
Learning a Prior for Monte Carlo Search by Replaying Solutions to Combinatorial Problems
Tristan Cazenave
Monte Carlo Search gives excellent results in multiple difficult combinatorial problems. Using a prior to perform non uniform playouts during the search improves a lot the results…