Régis Sabbadin

Orcid: 0000-0002-6286-1821

According to our database1, Régis Sabbadin authored at least 58 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Un modèle de jeu stochastique pour la lutte anti-braconnage et un benchmark pour l'Apprentissage par Renforcement Multi-agents.
Proceedings of the Simulation multi-agents : nouvelles approches, nouveaux enjeux, 2024

2023
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., 2023

2022
Solving possibilistic games with incomplete information.
Int. J. Approx. Reason., 2022

Reinforcement learning for crop management support: Review, prospects and challenges.
Comput. Electron. Agric., 2022

On Hypergraphical Bayesian Games.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

A Path-following Polynomial Equations Systems Approach for Computing Nash Equilibria.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2020
Ordinal Polymatrix Games with Incomplete Information.
Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, 2020

Ordinal Graph-Based Games.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

Computing All Equilibria in Ordinal Graphical Games.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Planning in Artificial Intelligence.
Proceedings of the A Guided Tour of Artificial Intelligence Research: Volume II: AI Algorithms, 2020

2019
Lexicographic refinements in possibilistic decision trees and finite-horizon Markov decision processes.
Fuzzy Sets Syst., 2019

Possibilistic Games with Incomplete Information.
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.
Rev. d'Intelligence Artif., 2018

Lexicographic refinements in stationary possibilistic Markov Decision Processes.
Int. J. Approx. Reason., 2018

2017
Labeled DBN Learning with Community Structure Knowledge.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Equilibria in Ordinal Games: A Framework based on Possibility Theory.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Efficient Policies for Stationary Possibilistic Markov Decision Processes.
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.
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.
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.
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.
CoRR, 2015

Solving F3MDPs: Collaborative Multiagent Markov Decision Processes with Factored Transitions, Rewards and Stochastic Policies.
Proceedings of the PRIMA 2015: Principles and Practice of Multi-Agent Systems, 2015

An Online Replanning Approach for Crop Fields Mapping with Autonomous UAVs.
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.
Comput. Stat. Data Anal., 2014

Finding good stochastic factored policies for factored Markov decision processes.
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.
Stat. Comput., 2013

Décision dans les agro-écosystèmes.
Rev. d'Intelligence Artif., 2013

A Tractable Leader-Follower MDP Model for Animal Disease Management.
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.
Int. J. Approx. Reason., 2012

A Reinforcement-Learning Algorithm for Sampling Design in Markov Random Fields.
Proceedings of the ECAI 2012, 2012

MOMDPs: A Solution for Modelling Adaptive Management Problems.
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.
Ann. Oper. Res., 2011

2010
Decision-theoretic Optimal Sampling in Hidden Markov Random Fields.
Proceedings of the ECAI 2010, 2010

2009
Planning under Uncertainty with Markov Decision Processes.
Proceedings of the Decision-making Process, 2009

A Survey of Qualitative Decision Rules under Uncertainty.
Proceedings of the Decision-making Process, 2009

Modèles et algorithmes pour la décision séquentielle dans l'incertain.
, 2009

2008
Complexity results and algorithms for possibilistic influence diagrams.
Artif. Intell., 2008

2007
Diagrammes d'influence possibilistes.
Rev. d'Intelligence Artif., 2007

Purely Epistemic Markov Decision Processes.
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.
Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

Possibilistic Influence Diagrams.
Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

Approximate Linear-Programming Algorithms for Graph-Based Markov Decision Processes.
Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

2005
Qualitative decision under uncertainty: back to expected utility.
Artif. Intell., 2005

2003
Qualitative Decision Rules under Uncertainty.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003

2002
Graph partitioning techniques for Markov Decision Processes decomposition.
Proceedings of the 15th European Conference on Artificial Intelligence, 2002

2001
Exception-Tolerant Reasoning and Decision under Uncertainty Using Qualitative Possibility Theory.
Künstliche Intell., 2001

The Use of the Discrete Sugeno Integral in Decision-Making: A Survey.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001

Decision-theoretic foundations of qualitative possibility theory.
Eur. J. Oper. Res., 2001

Towards Possibilistic Reinforcement Learning Algorithms.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

2000
Empirical Comparison of Probabilistic and Possibilistic Markov Decision Processes Algorithms.
Proceedings of the ECAI 2000, 2000

1999
Using Possibilistic Logic for Modeling Qualitative Decision: ATMS-based Algorithms.
Fundam. Informaticae, 1999

A Possibilistic Model for Qualitative Sequential Decision Problems under Uncertainty in Partially Observable Environments.
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.
PhD thesis, 1998

A fuzzy constraint satisfaction problem in the wine industry.
J. Intell. Fuzzy Syst., 1998

Towards qualitative approaches to multi-stage decision making.
Int. J. Approx. Reason., 1998

Qualitative Decision Theory with Sugeno Integrals.
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

Decision As Abduction?
Proceedings of the 13th European Conference on Artificial Intelligence, 1998

Logical Representation and Computation of Optimal Decisions in a Qualitative Setting.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998


  Loading...