Régis Sabbadin

According to our database, Régis Sabbadin authored at least 56 papers between 1998 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Toward AI-designed innovation diffusion policies using agent-based simulations and reinforcement learning: The case of digital tool adoption in agriculture.

Meritxell Vinyals, Régis Sabbadin, Stéphane Couture, Loïc Sadou, Rallou Thomopoulos, Kevin Chapuis, Baptiste Lesquoy, Patrick Taillandier

Frontiers Appl. Math. Stat., 2023

2022

Solving possibilistic games with incomplete information.

Nahla Ben Amor, Hélène Fargier, Régis Sabbadin, Meriem Trabelsi

Int. J. Approx. Reason., 2022

Reinforcement learning for crop management support: Review, prospects and challenges.

Romain Gautron, Odalric-Ambrym Maillard, Philippe Preux, Marc Corbeels, Régis Sabbadin

Comput. Electron. Agric., 2022

On Hypergraphical Bayesian Games.

Hélène Fargier, Paul Jourdan, Régis Sabbadin

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

A Path-following Polynomial Equations Systems Approach for Computing Nash Equilibria.

Hélène Fargier, Paul Jourdan, Régis Sabbadin

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2020

Ordinal Polymatrix Games with Incomplete Information.

Nahla Ben Amor, Hélène Fargier, Régis Sabbadin, Meriem Trabelsi

Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, 2020

Ordinal Graph-Based Games.

Arij Azzabi, Nahla Ben Amor, Hélène Fargier, Régis Sabbadin

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

Computing All Equilibria in Ordinal Graphical Games.

Arij Azzabi, Nahla Ben Amor, Hélène Fargier, Régis Sabbadin

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

2019

Lexicographic refinements in possibilistic decision trees and finite-horizon Markov decision processes.

Nahla Ben Amor, Zeineb El Khalfi, Hélène Fargier, Régis Sabbadin

Fuzzy Sets Syst., 2019

Possibilistic Games with Incomplete Information.

Nahla Ben Amor, Hélène Fargier, Régis Sabbadin, Meriem Trabelsi

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Réseau bayésien dynamique étiqueté pour l'apprentissage de structure d'un réseau écologique.

Etienne Auclair, Nathalie Peyrard, Régis Sabbadin

Rev. d'Intelligence Artif., 2018

Lexicographic refinements in stationary possibilistic Markov Decision Processes.

Nahla Ben Amor, Zeineb El Khalfi, Hélène Fargier, Régis Sabbadin

Int. J. Approx. Reason., 2018

2017

Labeled DBN Learning with Community Structure Knowledge.

Etienne Auclair, Nathalie Peyrard, Régis Sabbadin

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Equilibria in Ordinal Games: A Framework based on Possibility Theory.

Nahla Ben Amor, Hélène Fargier, Régis Sabbadin

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Efficient Policies for Stationary Possibilistic Markov Decision Processes.

Nahla Ben Amor, Zeineb El Khalfi, Hélène Fargier, Régis Sabbadin

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

Formalisation et résolution d'un problème en Santé Animale avec le cadre Leader-Follower MDP.

Anne-France Viet, Catherine Belloc, Régis Sabbadin

Proceedings of the 3ème Conférence Nationale sur les Applications Pratiques de l'Intelligence Artificielle, 2017

2016

Leader-Follower MDP Models with Factored State Space and Many Followers - Followers Abstraction, Structured Dynamics and State Aggregation.

Régis Sabbadin, Anne-France Viet

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Lexicographic Refinements in Possibilistic Decision Trees.

Nahla Ben Amor, Zeineb El Khalfi, Hélène Fargier, Régis Sabbadin

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015

Exact and approximate inference in graphical models: variable elimination and beyond.

Nathalie Peyrard, Simon de Givry, Alain Franc, Stéphane Robin, Régis Sabbadin, Thomas Schiex, Matthieu Vignes

CoRR, 2015

Solving F3MDPs: Collaborative Multiagent Markov Decision Processes with Factored Transitions, Rewards and Stochastic Policies.

Julia Radoszycki, Nathalie Peyrard, Régis Sabbadin

Proceedings of the PRIMA 2015: Principles and Practice of Multi-Agent Systems, 2015

An Online Replanning Approach for Crop Fields Mapping with Autonomous UAVs.

Alexandre Albore, Nathalie Peyrard, Régis Sabbadin, Florent Teichteil-Königsbuch

Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling, 2015

2014

Reinforcement learning-based design of sampling policies under cost constraints in Markov random fields: Application to weed map reconstruction.

Mathieu Bonneau, Sabrina Gaba, Nathalie Peyrard, Régis Sabbadin

Comput. Stat. Data Anal., 2014

Finding good stochastic factored policies for factored Markov decision processes.

Julia Radoszycki, Nathalie Peyrard, Régis Sabbadin

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2013

Model-based adaptive spatial sampling for occurrence map construction.

Nathalie Peyrard, Régis Sabbadin, Daniel Spring, Barry W. Brook, Ralph Mac Nally

Stat. Comput., 2013

Décision dans les agro-écosystèmes.

Gauthier Quesnel, Mahuna Akplogan, Mathieu Bonneau, Roger Martin-Clouaire, Nathalie Peyrard, Jean-Pierre Rellier, Régis Sabbadin, Ronan Trépos

Rev. d'Intelligence Artif., 2013

A Tractable Leader-Follower MDP Model for Animal Disease Management.

Régis Sabbadin, Anne-France Viet

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

A framework and a mean-field algorithm for the local control of spatial processes.

Régis Sabbadin, Nathalie Peyrard, Nicklas Forsell

Int. J. Approx. Reason., 2012

A Reinforcement-Learning Algorithm for Sampling Design in Markov Random Fields.

Mathieu Bonneau, Nathalie Peyrard, Régis Sabbadin

Proceedings of the ECAI 2012, 2012

MOMDPs: A Solution for Modelling Adaptive Management Problems.

Iadine Chades, Josie Carwardine, Tara G. Martin, Samuel Nicol, Régis Sabbadin, Olivier Buffet

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Management of the risk of wind damage in forestry: a graph-based Markov decision process approach.

Nicklas Forsell, Peder Wikström, Frédérick Garçia, Régis Sabbadin, Kristina Blennow, Ljusk Ola Eriksson

Ann. Oper. Res., 2011

2010

Decision-theoretic Optimal Sampling in Hidden Markov Random Fields.

Nathalie Peyrard, Régis Sabbadin, U. Farrokh Niaz

Proceedings of the ECAI 2010, 2010

2009

Planning under Uncertainty with Markov Decision Processes.

Régis Sabbadin

Proceedings of the Decision-making Process, 2009

A Survey of Qualitative Decision Rules under Uncertainty.

Didier Dubois, Hélène Fargier, Henri Prade, Régis Sabbadin

Proceedings of the Decision-making Process, 2009

Modèles et algorithmes pour la décision séquentielle dans l'incertain.

Régis Sabbadin

, 2009

2008

Complexity results and algorithms for possibilistic influence diagrams.

Laurent Garcia, Régis Sabbadin

Artif. Intell., 2008

2007

Diagrammes d'influence possibilistes.

Laurent Garcia, Régis Sabbadin

Rev. d'Intelligence Artif., 2007

Purely Epistemic Markov Decision Processes.

Régis Sabbadin, Jérôme Lang, Nasolo Ravoanjanahry

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Mean Field Approximation of the Policy Iteration Algorithm for Graph-Based Markov Decision Processes.

Nathalie Peyrard, Régis Sabbadin

Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

Possibilistic Influence Diagrams.

Laurent Garcia, Régis Sabbadin

Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

Approximate Linear-Programming Algorithms for Graph-Based Markov Decision Processes.

Nicklas Forsell, Régis Sabbadin

Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

2005

Qualitative decision under uncertainty: back to expected utility.

Hélène Fargier, Régis Sabbadin

Artif. Intell., 2005

2003

Qualitative Decision Rules under Uncertainty.

Didier Dubois, Hélène Fargier, Régis Sabbadin

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003

2002

Graph partitioning techniques for Markov Decision Processes decomposition.

Régis Sabbadin

Proceedings of the 15th European Conference on Artificial Intelligence, 2002

2001

Exception-Tolerant Reasoning and Decision under Uncertainty Using Qualitative Possibility Theory.

Salem Benferhat, Didier Dubois, Henri Prade, Régis Sabbadin

Künstliche Intell., 2001

The Use of the Discrete Sugeno Integral in Decision-Making: A Survey.

Didier Dubois, Jean-Luc Marichal, Henri Prade, Marc Roubens, Régis Sabbadin

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001

Decision-theoretic foundations of qualitative possibility theory.

Didier Dubois, Henri Prade, Régis Sabbadin

Eur. J. Oper. Res., 2001

Towards Possibilistic Reinforcement Learning Algorithms.

Régis Sabbadin

Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

2000

Empirical Comparison of Probabilistic and Possibilistic Markov Decision Processes Algorithms.

Régis Sabbadin

Proceedings of the ECAI 2000, 2000

1999

Using Possibilistic Logic for Modeling Qualitative Decision: ATMS-based Algorithms.

Didier Dubois, Daniel Le Berre, Henri Prade, Régis Sabbadin

Fundam. Informaticae, 1999

A Possibilistic Model for Qualitative Sequential Decision Problems under Uncertainty in Partially Observable Environments.

Régis Sabbadin

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

1998

Une approche ordinale de la décision dans l'incertain : axiomatisation, représentation logique et application à la décision séquentielle.

Régis Sabbadin

PhD thesis, 1998

A fuzzy constraint satisfaction problem in the wine industry.

Régis Sabbadin, Didier Dubois, Henri Prade, Pierre Grenier

J. Intell. Fuzzy Syst., 1998

Towards qualitative approaches to multi-stage decision making.

Régis Sabbadin, Hélène Fargier, Jérôme Lang

Int. J. Approx. Reason., 1998

Qualitative Decision Theory with Sugeno Integrals.

Didier Dubois, Henri Prade, Régis Sabbadin

Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

Decision As Abduction?

Régis Sabbadin

Proceedings of the 13th European Conference on Artificial Intelligence, 1998

Logical Representation and Computation of Optimal Decisions in a Qualitative Setting.

Didier Dubois, Daniel Le Berre, Henri Prade, Régis Sabbadin

Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998