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Un modèle de jeu stochastique pour la lutte anti-braconnage et un benchmark pour l'Apprentissage par Renforcement Multi-agents

Prasanna Maddila, Régis Sabbadin, Meritxell Vinyals

Jeux stochastiques environnements de simulation AR multi-agents PettingZoo

APE: An Anti-poaching Multi-Agent Reinforcement Learning Benchmark

Prasanna Maddila, Eric Casellas, Patrick Chabrier, Régis Sabbadin, Meritxell Vinyals

Stochastic games simulation environments multi-agent reinforcement learning PettingZoo

Construction and characterization of a comprehensive ovine pangenome from 11 breeds provides new insights into their genetic diversity

Valentin Sorin, Julien Sarry, Clément Birbes, Carole Iampietro, Camille Eché, Amandine Suin, Camille Marcuzzo, Laurence Drouilhet, Denis Milan, M Boussaha, M P Sanchez, Cécile Donnadieu, Christine Gaspin, Christophe Klopp, Gwenola Tosser-Klopp

Learning how to design biomolecules using a neuro-symbolic architecture

Marianne Defresne, Sophie Barbe, Thomas Schiex

Pangenome graph manipulation for local visualisation with pancat

Siegfried Dubois, Matthias ZYTNICKI, Thomas Faraut, Claire Lemaitre

PanSel: a tool finding conserved/divergent regions

Matthias ZYTNICKI

Scalable Coupling of Deep Learning with Logical Reasoning

Marianne Defresne, Sophie Barbe, Thomas Schiex

Simplified pangenome graph traversals with PSSM scoring : search for motifs differentials

Julien Guidihounme, Simon De Givry, Benjamin Linard

pangenome graph motif search differentials

The construction of a cattle pangenome for 14 French dairy and beef breeds provides new insights into their genetic diversity.

Valentin Sorin, Marie-Pierre Sanchez, Carole Iampietro, Camille Eché, Amandine Suin, Camille Marcuzzo, Laurence Drouilhet, Denis Milan, Gwenola Tosser-Klopp, Cécile Donnadieu, Christine Gaspin, Clément Birbes, Christophe Klopp, Didier Boichard, Mekki Boussaha