Constrained optimization under uncertainty for decision-making problems: Application to Real-Time Strategy games

Autor: Antuori, Valentin, Richoux, Florian

Decision-making problems can be modeled as combinatorial optimization problems with Constraint Programming formalisms such as Constrained Optimization Problems. However, few Constraint Programming formalisms can deal with both optimization and uncert

Externí odkaz: http://arxiv.org/abs/1901.00942

Combining Monte Carlo Tree Search and Depth First Search Methods for a Car Manufacturing Workshop Scheduling Problem

Autor: Antuori, Valentin, Hebrard, Emmanuel, Huguet, Marie-José, Essodaigui, Siham, Nguyen, Alain

Publikováno v: 27th International Conference on Principles and Practice of Constraint Programming (CP 2021).
International Conference on Principles and Practice of Constraint Programming
International Conference on Principles and Practice of Constraint Programming, Oct 2021, Montpellier (on line), France. ⟨10.4230/LIPIcs.CP.2021.14⟩

Many state-of-the-art methods for combinatorial games rely on Monte Carlo Tree Search (MCTS) method, coupled with machine learning techniques, and these techniques have also recently been applied to combinatorial optimization. In this paper, we propo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8931061f0c8816b9e8b0efe210bb8bd8
https://hal.laas.fr/hal-03372005/document

Principles and Practice of Constraint Programming : 26th International Conference, CP 2020, Louvain-la-Neuve, Belgium, September 7–11, 2020, Proceedings

Autor: Helmut Simonis

This book constitutes the proceedings of the 26th International Conference on Principles and Practice of Constraint Programming, CP 2020, held in Louvain-la-Neuve, Belgium, in September 2020. The conference was held virtually due to the COVID-19 pand