Francesco Morri

Identifiants chercheurs

IdHAL :

francesco-morri

ORCID :

0000-0002-3136-8970

Publications

Communication dans un congrès (6)

Learning in Conjectural Stackelberg Games Francesco Morri,Hélène Le Cadre,Luce Brotcorne GAIW Workshop 2025, May 2025, Detroit (MI), United States Communication dans un congrès hal-04908694v2
Learning in Stackelberg Conjectural Games Francesco Morri,Hélène Le Cadre,Luce Brotcorne ROADEF 2025, Feb 2025, Champs-sur-Marne, France Communication dans un congrès hal-04969032v1
Learning in Stackelberg Games with Application to Strategic Bidding in the Electricity Market Francesco Morri,Hélène Le Cadre,Luce Brotcorne,Pierre Gruet EEM24, Jun 2024, Istanbul, Turkey. pp.1-7, ⟨10.1109/EEM60825.2024.10608880⟩ Communication dans un congrès hal-04515557v2
Winning the 2023 CityLearn Challenge: a Community-based Hierarchical Energy Systems Coordination Algorithm Andoni I Garmendia,Francesco Morri,Quentin Cappart,Hélène Le Cadre 27TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, Oct 2024, Santiago de Compostela, Spain Communication dans un congrès hal-04685791v1
Multi-Agent Reinforcement Learning for Strategic Bidding in Two Stage Electricity Markets Francesco Morri,Hélène Le Cadre,Pierre Gruet,Luce Brotcorne IMACS23 - 21st IMACS World congress, Sep 2023, Rome, Italy Communication dans un congrès hal-04199940v1
Multi-Agent Reinforcement Learning for Strategic Bidding in Two Stage Electricity Markets Francesco Morri,Hélène Le Cadre,Pierre Gruet,Luce Brotcorne LION17 (17ème Conférence sur l'apprentissage et l'optimisation intelligente), Jun 2023, Nice, France Communication dans un congrès hal-04199919v1

Pré-publication, Document de travail (3)

Steering Noncooperative Games Through Conjecture Design Francesco Morri,Hélène Le Cadre,David Salas,Didier Aussel 2025 Pré-publication, Document de travail hal-05327921v2
Game Theory and Multi-Agent Reinforcement Learning for Zonal Ancillary Markets Francesco Morri,Hélène Le Cadre,Pierre Gruet,Luce Brotcorne 2025 Pré-publication, Document de travail hal-05245141v2
Supplementary Material for: Game Theory and Multi-Agent Reinforcement Learning for Zonal Ancillary Markets Francesco Morri,Hélène Le Cadre,Pierre Gruet,Luce Brotcorne 2025 Pré-publication, Document de travail hal-05348561v1

Thèse (1)

Game-Theoretic and Learning-Based Approaches in Multi-Agent Systems Francesco Morri Computer Science and Game Theory [cs.GT]. Université de Lille; Inria & Université de Lille, 2025. English. ⟨NNT : ⟩ Thèse tel-05542881v1