Reinforcement learning for crop management support: Review, prospects and challenges von Gautron, Romain, Maillard, Odalric-Ambrym, Preux, Philippe, Corbeels, Marc, Sabbadin, Régis

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Solving possibilistic games with incomplete information von Ben Amor, Nahla, Fargier, Hélène, Sabbadin, Régis, Trabelsi, Meriem

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Dynamic minimum set problem for reserve design: Heuristic solutions for large problems von Bonneau, Mathieu, Sabbadin, Régis, Johnson, Fred A, Stith, Bradley

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Multi-Objective Sequential Forest Management Under Risk Using a Markov Decision Process-Pareto Frontier Approach von Couture, Stéphane, Cros, Marie-Josée, Sabbadin, Régis

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Lexicographic refinements in possibilistic decision trees and finite-horizon Markov decision processes von Ben Amor, Nahla, El Khalfi, Zeineb, Fargier, Hélène, Sabbadin, Régis

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Finding the best management policy to eradicate invasive species from spatial ecological networks with simultaneous actions von Nicol, Sam, Sabbadin, Regis, Peyrard, Nathalie, Chadès, Iadine

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Improving pest monitoring networks using a simulation-based approach to contribute to pesticide reduction von Cros, Marie-Josée, Aubertot, Jean-Noël, Gaba, Sabrina, Reboud, Xavier, Sabbadin, Régis, Peyrard, Nathalie

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Lexicographic refinements in stationary possibilistic Markov Decision Processes von Ben Amor, Nahla, El Khalfi, Zeineb, Fargier, Hélène, Sabbadin, Régis

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Toward AI-designed innovation diffusion policies using agent-based simulations and reinforcement learning: The case of digital tool adoption in agriculture von Vinyals, Meritxell, Sabbadin, Regis, Couture, Stéphane, Sadou, Loïc, Thomopoulos, Rallou, Chapuis, Kevin, Lesquoy, Baptiste, Taillandier, Patrick

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A framework and a mean-field algorithm for the local control of spatial processes von Sabbadin, Régis, Peyrard, Nathalie, Forsell, Nicklas

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Risk aversion and optimal management of an uneven-aged forest under risk of windthrow: A Markov decision process approach von Couture, Stéphane, Cros, Marie-Josée, Sabbadin, Régis

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Complexity results and algorithms for possibilistic influence diagrams von Garcia, Laurent, Sabbadin, Régis

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The value of understanding feedbacks from ecosystem functions to species for managing ecosystems von Xiao, Hui, McDonald-Madden, Eve, Sabbadin, Régis, Peyrard, Nathalie, Dee, Laura E., Chadès, Iadine

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Reinforcement learning-based design of sampling policies under cost constraints in Markov random fields: Application to weed map reconstruction von Bonneau, Mathieu, Gaba, Sabrina, Peyrard, Nathalie, Sabbadin, Régis

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MDPtoolbox: a multi‐platform toolbox to solve stochastic dynamic programming problems von Chadès, Iadine, Chapron, Guillaume, Cros, Marie‐Josée, Garcia, Frédérick, Sabbadin, Régis

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A Monte-Carlo planning strategy for medical follow-up optimization: Illustration on multiple myeloma data von de Saporta, Benoîte, Thierry d'Argenlieu, Aymar, Sabbadin, Régis, Cleynen, Alice

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Qualitative decision under uncertainty: back to expected utility von Fargier, Hélène, Sabbadin, Régis

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Sampling for weed spatial distribution mapping need not be adaptive von Bonneau, Mathieu, Peyrard, Nathalie, Gaba, Sabrina, Sabbadin, Régis

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Management of the risk of wind damage in forestry: a graph-based Markov decision process approach von Forsell, Nicklas, Wikström, Peder, Garcia, Frédérick, Sabbadin, Régis, Blennow, Kristina, Eriksson, Ljusk Ola

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Model-based adaptive spatial sampling for occurrence map construction von Peyrard, Nathalie, Sabbadin, Régis, Spring, Daniel, Brook, Barry, Mac Nally, Ralph

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