Régis Sabbadin

发表

Sampling for weed spatial distribution mapping need not be adaptive

Mathieu Bonneau, Nathalie Peyrard, Sabrina Gaba, 2015, Environmental and Ecological Statistics.

Régis Sabbadin, Laurent Garcia, R. Sabbadin, 2006, ECAI.

Equilibria in Ordinal Games: A Framework based on Possibility Theory

Nahla Ben Amor, Hélène Fargier, Régis Sabbadin, 2017, IJCAI.

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

Nathalie Peyrard, Régis Sabbadin, Julia Radoszycki, 2015, PRIMA.

Computing All Equilibria in Ordinal Graphical Games

Nahla Ben Amor, Hélène Fargier, Régis Sabbadin, 2020, 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI).

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

Simon de Givry, Thomas Schiex, Stéphane Robin, 2015, ArXiv.

Diagrammes d'influence possibilistes

Régis Sabbadin, Laurent Garcia, 2007, Rev. d'Intelligence Artif..

MOMDPs: A Solution for Modelling Adaptive Management Problems

Olivier Buffet, Régis Sabbadin, Tara G. Martin, 2012, AAAI.

Lexicographic refinements in stationary possibilistic Markov Decision Processes

Nahla Ben Amor, Hélène Fargier, Régis Sabbadin, 2018, Int. J. Approx. Reason..

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

Mathieu Bonneau, Nathalie Peyrard, Régis Sabbadin, 2012, ECAI.

MDPtoolbox: a multi-platform toolbox to solve stochastic dynamic programming problems

Marie-Josée Cros, Régis Sabbadin, Guillaume Chapron, 2014 .

Décision dans les agro-écosystèmes

Mathieu Bonneau, Nathalie Peyrard, Régis Sabbadin, 2013, Rev. d'Intelligence Artif..

Model-based adaptive spatial sampling for occurrence map construction

Daniel Spring, Ralph Mac Nally, Nathalie Peyrard, 2013, Stat. Comput..

Complexity results and algorithms for possibilistic influence diagrams

Régis Sabbadin, Laurent Garcia, R. Sabbadin, 2008, Artif. Intell..

Reinforcement learning for spatial processes

Régis Sabbadin, F. Garcia, 2009 .

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

Régis Sabbadin, Nicklas Forsell, 2006, ECAI.

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

Nathalie Peyrard, Régis Sabbadin, Nicklas Forsell, 2012, Int. J. Approx. Reason..

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

Mathieu Bonneau, Nathalie Peyrard, Sabrina Gaba, 2014, Comput. Stat. Data Anal..

Dynamic reserve site selection under contagion risk of deforestation

Régis Sabbadin, Daniel Spring, Charles-Elie Rabier, 2007 .

Purely Epistemic Markov Decision Processes

Jérôme Lang, Régis Sabbadin, Nasolo Ravoanjanahry, 2007, AAAI.

A Survey of Qualitative Decision Rules under Uncertainty

Didier Dubois, Henri Prade, Hélène Fargier, 2010, Decision-making Process.

Qualitative Decision under Uncertainty: Back to Expected Utility

Hélène Fargier, Régis Sabbadin, H. Fargier, 2003, IJCAI.

Qualitative Decision Theory with Sugeno Integrals

Didier Dubois, Henri Prade, Régis Sabbadin, 1998, UAI.

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

Régis Sabbadin, Anne-France Viet, R. Sabbadin, 2016, ECAI.

Labeled DBN Learning with Community Structure Knowledge

Nathalie Peyrard, Régis Sabbadin, Etienne Auclair, 2017, ECML/PKDD.

Decision in agroecosystems advanced modelling techniques studying global changes in environmental sciences

Mathieu Bonneau, Nathalie Peyrard, Régis Sabbadin, 2015 .

Lexicographic Refinements in Possibilistic Decision Trees

Nahla Ben Amor, Hélène Fargier, Régis Sabbadin, 2016, ECAI.

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

Didier Dubois, Henri Prade, Salem Benferhat, 2001, Künstliche Intell..

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

Régis Sabbadin, R. Sabbadin, 1999, UAI.

Ordinal Graph-Based Games

Nahla Ben Amor, Hélène Fargier, Régis Sabbadin, 2020, IPMU.

A fuzzy constraint satisfaction problem in the wine industry

Didier Dubois, Henri Prade, Régis Sabbadin, 1998, J. Intell. Fuzzy Syst..

Empirical Comparison of Probabilistic and Possibilistic Markov Decision Processes Algorithms

Régis Sabbadin, R. Sabbadin, 2000, ECAI.

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

Nathalie Peyrard, Régis Sabbadin, 2006, ECAI.

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

Régis Sabbadin, Anne-France Viet, Catherine Belloc, 2017, APIA.

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

Nahla Ben Amor, Hélène Fargier, Régis Sabbadin, 2018, Fuzzy Sets Syst..

An Online Replanning Approach for Crop Fields Mapping with Autonomous UAVs

Nathalie Peyrard, Régis Sabbadin, Florent Teichteil-Königsbuch, 2015, ICAPS.

A Tractable Leader-Follower MDP Model for Animal Disease Management

Régis Sabbadin, Anne-France Viet, 2013, AAAI.

Planning in Artificial Intelligence

Régis Sabbadin, Florent Teichteil-Königsbuch, Vincent Vidal, 2020 .

A Markov decision process for integrated pest management

Nathalie Peyrard, Régis Sabbadin, Jean-Noël Aubertot, 2007 .

Graph partitioning techniques for Markov Decision Processes decomposition

Régis Sabbadin, R. Sabbadin, 2002, ECAI.

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

Ljusk Ola Eriksson, Régis Sabbadin, Frédérick Garcia, 2011, Ann. Oper. Res..

Decision-theoretic foundations of qualitative possibility theory

Didier Dubois, Henri Prade, Régis Sabbadin, 2001, Eur. J. Oper. Res..

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

Didier Dubois, Henri Prade, Régis Sabbadin, 1999, Fundam. Informaticae.

Finding good stochastic factored policies for factored Markov decision processes

Nathalie Peyrard, Régis Sabbadin, Julia Radoszycki, 2014, ECAI.

Possibilistic Games with Incomplete Information

Nahla Ben Amor, Hélène Fargier, Régis Sabbadin, 2019, IJCAI.

Ordinal Polymatrix Games with Incomplete Information

Nahla Ben Amor, Hélène Fargier, Régis Sabbadin, 2020, KR.

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

Didier Dubois, Henri Prade, Jean-Luc Marichal, 2001, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Dynamic minimum set problem for reserve design: Heuristic solutions for large problems

Mathieu Bonneau, Régis Sabbadin, Fred A Johnson, 2018, PloS one.

Logical Representation and Computation of Optimal Decisions in a Qualitative Setting

Didier Dubois, Henri Prade, Régis Sabbadin, 1998, AAAI/IAAI.

Possibilistic Markov decision processes

Régis Sabbadin, R. Sabbadin, 2001 .

GMDPtoolbox: A Matlab library for designing spatial management policies. Application to the long-term collective management of an airborne disease

Marie-Josée Cros, Nathalie Peyrard, Régis Sabbadin, 2017, PloS one.

Planning under Uncertainty with Markov Decision Processes

Régis Sabbadin, R. Sabbadin, 2010, Decision-making Process.

Decision-theoretic Optimal Sampling in Hidden Markov Random Fields

Nathalie Peyrard, Régis Sabbadin, U. Farrokh Niaz, 2010, ECAI.

Qualitative Decision Rules under Uncertainty

Didier Dubois, Hélène Fargier, Régis Sabbadin, 2003, ECSQARU.

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

Nathalie Peyrard, Régis Sabbadin, Etienne Auclair, 2018, Rev. d'Intelligence Artif..

Towards qualitative approaches to multi-stage decision making

Jérôme Lang, Hélène Fargier, Régis Sabbadin, 1998, Int. J. Approx. Reason..

Decision As Abduction?

Régis Sabbadin, 1998, ECAI.

Can qualitative utility criteria obey the sure thing principle

Hélène Fargier, Régis Sabbadin, H. Fargier, 2002 .

Reinforcement learning based design of sampling policies under cost constraints in Markov Random Fields

Mathieu Bonneau, Nathalie Peyrard, Régis Sabbadin, 2014 .

Decision, nonmonotonic reasoning and possibilistic logic

Didier Dubois, Henri Prade, Régis Sabbadin, 2000 .

Modelling Interaction Networks for Enhanced Ecosystem Services in Agroecosystems

Nathalie Peyrard, Sabrina Gaba, Régis Sabbadin, 2013 .

Quick Start : Resolving a Markov decision process problem using the MDPtoolbox in Matlab

Marie-Josée Cros, Régis Sabbadin, Iadine Chadès, 2014 .

Learning ecological networks from next-generation sequencing data

Alireza Tamaddoni-Nezhad, Nathalie Peyrard, Régis Sabbadin, 2016 .

Risk aversion and optimal management of an uneven-aged forest under risk of windthrow: A Markov decision process approach

Marie-Josée Cros, Régis Sabbadin, Stéphane Couture, 2016 .

Dynamics of Weeds in the Soil Seed Bank: A Hidden Markov Model to Estimate Life History Traits from Standing Plant Time Series

Nathalie Peyrard, Sabrina Gaba, Régis Sabbadin, 2015, PloS one.