Logical Representation and Computation of Optimal Decisions in a Qualitative Setting. - Didier Dubois; Daniel Le Berre; Henri Prade; Régis Sabbadin (AAAI/IAAI, 1998)

Decision As Abduction? - Régis Sabbadin (ECAI, 1998)

Qualitative Decision Theory with Sugeno Integrals. - Didier Dubois; Henri Prade; Régis Sabbadin (UAI, 1998)

Towards qualitative approaches to multi-stage decision making. - Régis Sabbadin; Hélène Fargier; Jérôme Lang (Int. J. Approx. Reason., 1998)

A fuzzy constraint satisfaction problem in the wine industry. - Régis Sabbadin; Didier Dubois; Henri Prade; Pierre Grenier (J. Intell. Fuzzy Syst., 1998)

Une approche ordinale de la décision dans l'incertain : axiomatisation, représentation logique et application à la décision séquentielle. - Régis Sabbadin (1998)

A Possibilistic Model for Qualitative Sequential Decision Problems under Uncertainty in Partially Observable Environments. - Régis Sabbadin (UAI, 1999)

Using Possibilistic Logic for Modeling Qualitative Decision: ATMS-based Algorithms. - Didier Dubois; Daniel Le Berre; Henri Prade; Régis Sabbadin (Fundam. Informaticae, 1999)

Empirical Comparison of Probabilistic and Possibilistic Markov Decision Processes Algorithms. - Régis Sabbadin (ECAI, 2000)

Towards Possibilistic Reinforcement Learning Algorithms. - Régis Sabbadin (FUZZ-IEEE, 2001)

Decision-theoretic foundations of qualitative possibility theory. - Didier Dubois; Henri Prade; Régis Sabbadin (Eur. J. Oper. Res., 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)

Exception-Tolerant Reasoning and Decision under Uncertainty Using Qualitative Possibility Theory. - Salem Benferhat; Didier Dubois; Henri Prade; Régis Sabbadin (Künstliche Intell., 2001)

Graph partitioning techniques for Markov Decision Processes decomposition. - Régis Sabbadin (ECAI, 2002)

Qualitative Decision Rules under Uncertainty. - Didier Dubois; Hélène Fargier; Régis Sabbadin (ECSQARU, 2003)

Qualitative decision under uncertainty: back to expected utility. - Hélène Fargier; Régis Sabbadin (Artif. Intell., 2005)

Approximate Linear-Programming Algorithms for Graph-Based Markov Decision Processes. - Nicklas Forsell; Régis Sabbadin (ECAI, 2006)

Possibilistic Influence Diagrams. - Laurent Garcia; Régis Sabbadin (ECAI, 2006)

Mean Field Approximation of the Policy Iteration Algorithm for Graph-Based Markov Decision Processes. - Nathalie Peyrard; Régis Sabbadin (ECAI, 2006)

Purely Epistemic Markov Decision Processes. - Régis Sabbadin; Jérôme Lang; Nasolo Ravoanjanahry (AAAI, 2007)

Diagrammes d'influence possibilistes. - Laurent Garcia; Régis Sabbadin (Rev. d'Intelligence Artif., 2007)

Complexity results and algorithms for possibilistic influence diagrams. - Laurent Garcia; Régis Sabbadin (Artif. Intell., 2008)

Modèles et algorithmes pour la décision séquentielle dans l'incertain. - Régis Sabbadin (2009)

A Survey of Qualitative Decision Rules under Uncertainty. - Didier Dubois; Hélène Fargier; Henri Prade; Régis Sabbadin (Decision-making Process, 2009)

Planning under Uncertainty with Markov Decision Processes. - Régis Sabbadin (Decision-making Process, 2009)

Decision-theoretic Optimal Sampling in Hidden Markov Random Fields. - Nathalie Peyrard; Régis Sabbadin; U. Farrokh Niaz (ECAI, 2010)

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)

MOMDPs: A Solution for Modelling Adaptive Management Problems. - Iadine Chades; Josie Carwardine; Tara G. Martin; Samuel Nicol; Régis Sabbadin; Olivier Buffet (AAAI, 2012)

A Reinforcement-Learning Algorithm for Sampling Design in Markov Random Fields. - Mathieu Bonneau; Nathalie Peyrard; Régis Sabbadin (ECAI, 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 Tractable Leader-Follower MDP Model for Animal Disease Management. - Régis Sabbadin; Anne-France Viet (AAAI, 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)

Model-based adaptive spatial sampling for occurrence map construction. - Nathalie Peyrard; Régis Sabbadin; Daniel Spring; Barry W. Brook; Ralph Mac Nally (Stat. Comput., 2013)

Finding good stochastic factored policies for factored Markov decision processes. - Julia Radoszycki; Nathalie Peyrard; Régis Sabbadin (ECAI, 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)

An Online Replanning Approach for Crop Fields Mapping with Autonomous UAVs. - Alexandre Albore; Nathalie Peyrard; Régis Sabbadin; Florent Teichteil-Königsbuch (ICAPS, 2015)

Solving F3MDPs: Collaborative Multiagent Markov Decision Processes with Factored Transitions, Rewards and Stochastic Policies. - Julia Radoszycki; Nathalie Peyrard; Régis Sabbadin (PRIMA, 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)

Lexicographic Refinements in Possibilistic Decision Trees. - Nahla Ben Amor; Zeineb El Khalfi; Hélène Fargier; Régis Sabbadin (ECAI, 2016)

Leader-Follower MDP Models with Factored State Space and Many Followers - Followers Abstraction, Structured Dynamics and State Aggregation. - Régis Sabbadin; Anne-France Viet (ECAI, 2016)

Formalisation et résolution d'un problème en Santé Animale avec le cadre Leader-Follower MDP. - Anne-France Viet; Catherine Belloc; Régis Sabbadin (APIA, 2017)

Efficient Policies for Stationary Possibilistic Markov Decision Processes. - Nahla Ben Amor; Zeineb El Khalfi; Hélène Fargier; Régis Sabbadin (ECSQARU, 2017)

Equilibria in Ordinal Games: A Framework based on Possibility Theory. - Nahla Ben Amor; Hélène Fargier; Régis Sabbadin (IJCAI, 2017)

Labeled DBN Learning with Community Structure Knowledge. - Etienne Auclair; Nathalie Peyrard; Régis Sabbadin (ECML/PKDD (2), 2017)

Lexicographic refinements in stationary possibilistic Markov Decision Processes. - Nahla Ben Amor; Zeineb El Khalfi; Hélène Fargier; Régis Sabbadin (Int. J. Approx. Reason., 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)

Possibilistic Games with Incomplete Information. - Nahla Ben Amor; Hélène Fargier; Régis Sabbadin; Meriem Trabelsi (IJCAI, 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)

Planning in Artificial Intelligence. - Régis Sabbadin; Florent Teichteil-Königsbuch; Vincent Vidal 001 (A Guided Tour of Artificial Intelligence Research (2) (II), 2020)

Computing All Equilibria in Ordinal Graphical Games. - Arij Azzabi; Nahla Ben Amor; Hélène Fargier; Régis Sabbadin (ICTAI, 2020)

Ordinal Graph-Based Games. - Arij Azzabi; Nahla Ben Amor; Hélène Fargier; Régis Sabbadin (IPMU (1), 2020)

Ordinal Polymatrix Games with Incomplete Information. - Nahla Ben Amor; Hélène Fargier; Régis Sabbadin; Meriem Trabelsi (KR, 2020)

A Path-following Polynomial Equations Systems Approach for Computing Nash Equilibria. - Hélène Fargier; Paul Jourdan; Régis Sabbadin (AAMAS, 2022)

On Hypergraphical Bayesian Games. - Hélène Fargier; Paul Jourdan; Régis Sabbadin (ICTAI, 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)

Solving possibilistic games with incomplete information. - Nahla Ben Amor; Hélène Fargier; Régis Sabbadin; Meriem Trabelsi (Int. J. Approx. Reason., 2022)

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)

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 (JFSMA, 2024)

Bridging Impulse Control of Piecewise Deterministic Markov Processes and Markov Decision Processes: Frameworks, Extensions, and Open Challenges. - Alice Cleynen; Benoîte de Saporta; Orlane Rossini; Régis Sabbadin; Amélie Vernay (CoRR, 2025)