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ORCIDRégis Sabbadin
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2020 – today
- 2023
[j20]Meritxell Vinyals, Régis Sabbadin, Stéphane Couture, Loïc Sadou, Rallou Thomopoulos, Kevin Chapuis, Baptiste Lesquoy, Patrick Taillandier:
Toward AI-designed innovation diffusion policies using agent-based simulations and reinforcement learning: The case of digital tool adoption in agriculture. Frontiers Appl. Math. Stat. 9 (2023)- 2022
- [j19]Romain Gautron
, Odalric-Ambrym Maillard, Philippe Preux, Marc Corbeels, Régis Sabbadin:
Reinforcement learning for crop management support: Review, prospects and challenges. Comput. Electron. Agric. 200: 107182 (2022) - [j18]Nahla Ben Amor, Hélène Fargier, Régis Sabbadin, Meriem Trabelsi:
Solving possibilistic games with incomplete information. Int. J. Approx. Reason. 143: 139-158 (2022) - [c32]Hélène Fargier, Paul Jourdan, Régis Sabbadin:
A Path-following Polynomial Equations Systems Approach for Computing Nash Equilibria. AAMAS 2022: 418-426 - [c31]Hélène Fargier, Paul Jourdan, Régis Sabbadin:
On Hypergraphical Bayesian Games. ICTAI 2022: 1374-1381 - 2020
- [c30]Arij Azzabi, Nahla Ben Amor, Hélène Fargier, Régis Sabbadin:
Computing All Equilibria in Ordinal Graphical Games. ICTAI 2020: 1004-1011 - [c29]Arij Azzabi, Nahla Ben Amor, Hélène Fargier, Régis Sabbadin:
Ordinal Graph-Based Games. IPMU (1) 2020: 271-285 - [c28]Nahla Ben Amor, Hélène Fargier, Régis Sabbadin, Meriem Trabelsi:
Ordinal Polymatrix Games with Incomplete Information. KR 2020: 99-108 - [p3]Régis Sabbadin, Florent Teichteil-Königsbuch, Vincent Vidal:
Planning in Artificial Intelligence. A Guided Tour of Artificial Intelligence Research (2) (II) 2020: 285-312
2010 – 2019
- 2019
- [j17]Nahla Ben Amor, Zeineb El Khalfi, Hélène Fargier, Régis Sabbadin:
Lexicographic refinements in possibilistic decision trees and finite-horizon Markov decision processes. Fuzzy Sets Syst. 366: 85-109 (2019) - [c27]Nahla Ben Amor, Hélène Fargier, Régis Sabbadin, Meriem Trabelsi:
Possibilistic Games with Incomplete Information. IJCAI 2019: 1544-1550 - 2018
- [j16]Nahla Ben Amor, Zeineb El Khalfi, Hélène Fargier, Régis Sabbadin:
Lexicographic refinements in stationary possibilistic Markov Decision Processes. Int. J. Approx. Reason. 103: 343-363 (2018) - [j15]Etienne Auclair, Nathalie Peyrard, Régis Sabbadin:
Réseau bayésien dynamique étiqueté pour l'apprentissage de structure d'un réseau écologique. Rev. d'Intelligence Artif. 32(1): 11-38 (2018) - 2017
- [c26]Anne-France Viet, Catherine Belloc, Régis Sabbadin:
Formalisation et résolution d'un problème en Santé Animale avec le cadre Leader-Follower MDP. APIA 2017: 54-60 - [c25]Nahla Ben Amor, Zeineb El Khalfi, Hélène Fargier, Régis Sabbadin:
Efficient Policies for Stationary Possibilistic Markov Decision Processes. ECSQARU 2017: 306-317 - [c24]Nahla Ben Amor, Hélène Fargier, Régis Sabbadin:
Equilibria in Ordinal Games: A Framework based on Possibility Theory. IJCAI 2017: 105-111 - [c23]Etienne Auclair, Nathalie Peyrard, Régis Sabbadin:
Labeled DBN Learning with Community Structure Knowledge. ECML/PKDD (2) 2017: 158-174 - 2016
- [c22]Régis Sabbadin, Anne-France Viet:
Leader-Follower MDP Models with Factored State Space and Many Followers - Followers Abstraction, Structured Dynamics and State Aggregation. ECAI 2016: 116-124 - [c21]Nahla Ben Amor, Zeineb El Khalfi, Hélène Fargier, Régis Sabbadin:
Lexicographic Refinements in Possibilistic Decision Trees. ECAI 2016: 202-208 - 2015
- [c20]Alexandre Albore, Nathalie Peyrard, Régis Sabbadin, Florent Teichteil-Königsbuch:
An Online Replanning Approach for Crop Fields Mapping with Autonomous UAVs. ICAPS 2015: 259-267 - [c19]Julia Radoszycki, Nathalie Peyrard, Régis Sabbadin:
Solving F3MDPs: Collaborative Multiagent Markov Decision Processes with Factored Transitions, Rewards and Stochastic Policies. PRIMA 2015: 3-19 - [i3]Nathalie Peyrard, Simon de Givry, Alain Franc, Stéphane Robin, Régis Sabbadin, Thomas Schiex, Matthieu Vignes:
Exact and approximate inference in graphical models: variable elimination and beyond. CoRR abs/1506.08544 (2015) - 2014
- [j14]Mathieu Bonneau, Sabrina Gaba, Nathalie Peyrard, Régis Sabbadin:
Reinforcement learning-based design of sampling policies under cost constraints in Markov random fields: Application to weed map reconstruction. Comput. Stat. Data Anal. 72: 30-44 (2014) - [c18]Julia Radoszycki, Nathalie Peyrard, Régis Sabbadin:
Finding good stochastic factored policies for factored Markov decision processes. ECAI 2014: 1083-1084 - 2013
- [j13]Gauthier Quesnel, Mahuna Akplogan, Mathieu Bonneau, Roger Martin-Clouaire, Nathalie Peyrard, Jean-Pierre Rellier, Régis Sabbadin, Ronan Trépos:
Décision dans les agro-écosystèmes. Rev. d'Intelligence Artif. 27(4-5): 409-442 (2013) - [j12]Nathalie Peyrard, Régis Sabbadin, Daniel Spring, Barry W. Brook, Ralph Mac Nally:
Model-based adaptive spatial sampling for occurrence map construction. Stat. Comput. 23(1): 29-42 (2013) - [c17]Régis Sabbadin, Anne-France Viet:
A Tractable Leader-Follower MDP Model for Animal Disease Management. AAAI 2013: 1320-1326 - [i2]Régis Sabbadin:
A Possibilistic Model for Qualitative Sequential Decision Problems under Uncertainty in Partially Observable Environments. CoRR abs/1301.6736 (2013) - [i1]Didier Dubois, Henri Prade, Régis Sabbadin:
Qualitative Decision Theory with Sugeno Integrals. CoRR abs/1301.7372 (2013) - 2012
- [j11]Régis Sabbadin, Nathalie Peyrard, Nicklas Forsell:
A framework and a mean-field algorithm for the local control of spatial processes. Int. J. Approx. Reason. 53(1): 66-86 (2012) - [c16]Iadine Chades, Josie Carwardine, Tara G. Martin, Samuel Nicol, Régis Sabbadin, Olivier Buffet:
MOMDPs: A Solution for Modelling Adaptive Management Problems. AAAI 2012: 267-273 - [c15]Mathieu Bonneau, Nathalie Peyrard, Régis Sabbadin:
A Reinforcement-Learning Algorithm for Sampling Design in Markov Random Fields. ECAI 2012: 181-186 - 2011
- [j10]Nicklas Forsell, Peder Wikström, Frédérick Garçia, Régis Sabbadin, Kristina Blennow, Ljusk Ola Eriksson:
Management of the risk of wind damage in forestry: a graph-based Markov decision process approach. Ann. Oper. Res. 190(1): 57-74 (2011) - 2010
- [c14]Nathalie Peyrard, Régis Sabbadin, U. Farrokh Niaz:
Decision-theoretic Optimal Sampling in Hidden Markov Random Fields. ECAI 2010: 687-692
2000 – 2009
- 2009
- [b2]Régis Sabbadin:
Modèles et algorithmes pour la décision séquentielle dans l'incertain. Paul Sabatier University, Toulouse, France, 2009 - [p2]Didier Dubois, Hélène Fargier, Henri Prade, Régis Sabbadin:
A Survey of Qualitative Decision Rules under Uncertainty. Decision-making Process 2009: 435-473 - [p1]Régis Sabbadin:
Planning under Uncertainty with Markov Decision Processes. Decision-making Process 2009: 541-577 - 2008
- [j9]Laurent Garcia, Régis Sabbadin:
Complexity results and algorithms for possibilistic influence diagrams. Artif. Intell. 172(8-9): 1018-1044 (2008) - 2007
- [j8]Laurent Garcia, Régis Sabbadin:
Diagrammes d'influence possibilistes. Rev. d'Intelligence Artif. 21(4): 521-554 (2007) - [c13]Régis Sabbadin, Jérôme Lang, Nasolo Ravoanjanahry:
Purely Epistemic Markov Decision Processes. AAAI 2007: 1057-1062 - 2006
- [c12]Laurent Garcia, Régis Sabbadin:
Possibilistic Influence Diagrams. ECAI 2006: 372-376 - [c11]Nicklas Forsell, Régis Sabbadin:
Approximate Linear-Programming Algorithms for Graph-Based Markov Decision Processes. ECAI 2006: 590-599 - [c10]Nathalie Peyrard, Régis Sabbadin:
Mean Field Approximation of the Policy Iteration Algorithm for Graph-Based Markov Decision Processes. ECAI 2006: 595-599 - 2005
- [j7]Hélène Fargier, Régis Sabbadin:
Qualitative decision under uncertainty: back to expected utility. Artif. Intell. 164(1-2): 245-280 (2005) - 2003
- [c9]Didier Dubois, Hélène Fargier, Régis Sabbadin:
Qualitative Decision Rules under Uncertainty. ECSQARU 2003: 1-21 - [c8]Hélène Fargier, Régis Sabbadin:
Qualitative Decision under Uncertainty: Back to Expected Utility. IJCAI 2003: 303-308 - 2002
- [c7]Régis Sabbadin:
Graph partitioning techniques for Markov Decision Processes decomposition. ECAI 2002: 670-674 - 2001
- [j6]Didier Dubois, Henri Prade, Régis Sabbadin:
Decision-theoretic foundations of qualitative possibility theory. Eur. J. Oper. Res. 128(3): 459-478 (2001) - [j5]Didier Dubois, Jean-Luc Marichal, Henri Prade, Marc Roubens, Régis Sabbadin:
The Use of the Discrete Sugeno Integral in Decision-Making: A Survey. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 9(5): 539-561 (2001) - [j4]Salem Benferhat, Didier Dubois, Henri Prade, Régis Sabbadin:
Exception-Tolerant Reasoning and Decision under Uncertainty Using Qualitative Possibility Theory. Künstliche Intell. 15(3): 9-15 (2001) - [c6]Régis Sabbadin:
Towards Possibilistic Reinforcement Learning Algorithms. FUZZ-IEEE 2001: 404-407 - 2000
- [c5]Régis Sabbadin:
Empirical Comparison of Probabilistic and Possibilistic Markov Decision Processes Algorithms. ECAI 2000: 586-590
1990 – 1999
- 1999
- [j3]Didier Dubois, Daniel Le Berre, Henri Prade, Régis Sabbadin:
Using Possibilistic Logic for Modeling Qualitative Decision: ATMS-based Algorithms. Fundam. Informaticae 37(1-2): 1-30 (1999) - [c4]Régis Sabbadin:
A Possibilistic Model for Qualitative Sequential Decision Problems under Uncertainty in Partially Observable Environments. UAI 1999: 567-574 - 1998
- [b1]Régis Sabbadin:
Une approche ordinale de la décision dans l'incertain : axiomatisation, représentation logique et application à la décision séquentielle. Paul Sabatier University, Toulouse, France, 1998 - [j2]Régis Sabbadin, Hélène Fargier, Jérôme Lang:
Towards qualitative approaches to multi-stage decision making. Int. J. Approx. Reason. 19(3-4): 441-471 (1998) - [j1]Régis Sabbadin, Didier Dubois, Henri Prade, Pierre Grenier:
A fuzzy constraint satisfaction problem in the wine industry. J. Intell. Fuzzy Syst. 6(3): 361-374 (1998) - [c3]Didier Dubois, Daniel Le Berre, Henri Prade, Régis Sabbadin:
Logical Representation and Computation of Optimal Decisions in a Qualitative Setting. AAAI/IAAI 1998: 588-593 - [c2]Régis Sabbadin:
Decision As Abduction? ECAI 1998: 600-604 - [c1]Didier Dubois, Henri Prade, Régis Sabbadin:
Qualitative Decision Theory with Sugeno Integrals. UAI 1998: 121-128
Coauthor Index
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