85 citations · 133 across the 10 of their papers we have counts for
10 papers
Injecting Combinatorial Optimization into MCTS: Application to the Board Game boop
Florian Richoux
Games, including abstract board games, constitute a convenient ground to create, design, and improve new AI methods. In this field, Monte Carlo Tree Search is a popular algorithm f…
Terrain Analysis in StarCraft 1 and 2 as Combinatorial Optimization
Florian Richoux
Terrain analysis in Real-Time Strategy games is a necessary step to allow spacial reasoning. The goal of terrain analysis is to gather and process data about the map topology and p…
microPhantom: Playing microRTS under uncertainty and chaos
Florian Richoux
This competition paper presents microPhantom, a bot playing microRTS and participating in the 2020 microRTS AI competition. microPhantom is based on our previous bot POAdaptive whi…
Learning Interpretable Error Functions for Combinatorial Optimization Problem Modeling
Florian Richoux, Jean-François Baffier
In Constraint Programming, constraints are usually represented as predicates allowing or forbidding combinations of values. However, some algorithms exploit a finer representation:…
Comparing two deep learning sequence-based models for protein-protein interaction prediction
Florian Richoux, Charlène Servantie, Cynthia Borès +1
Biological data are extremely diverse, complex but also quite sparse. The recent developments in deep learning methods are offering new possibilities for the analysis of complex da…
Constrained optimization under uncertainty for decision-making problems: Application to Real-Time Strategy games
Valentin Antuori, Florian Richoux
Decision-making problems can be modeled as combinatorial optimization problems with Constraint Programming formalisms such as Constrained Optimization Problems. However, few Constr…