Stochastic and distributed anytime task scheduling. - François Charpillet; Iadine Chades; Jean-Michel Gallone (ICTAI, 1998)

A heuristic approach for solving decentralized-POMDP: assessment on the pursuit problem. - Iadine Chades; Bruno Scherrer; François Charpillet (SAC, 2002)

Planning Cooperative Homogeneous Multiagent Systems Using Markov Decision Processes. - Iadine Chades; Bruno Scherrer; François Charpillet (ICEIS (2), 2003)

Algorithmes de co-évolution pour la résolution approchée de PDM multi-agent. - Iadine Chades (Rev. d'Intelligence Artif., 2006)

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

Adaptive Management of Migratory Birds Under Sea Level Rise. - Samuel Nicol; Olivier Buffet; Takuya Iwamura; Iadine Chades (IJCAI, 2013)

α-min: A Compact Approximate Solver For Finite-Horizon POMDPs. - Yann Dujardin; Tom Dietterich; Iadine Chades (IJCAI, 2015)

Three New Algorithms to Solve N-POMDPs. - Yann Dujardin; Tom Dietterich; Iadine Chades (AAAI, 2017)

Fast-Tracking Stationary MOMDPs for Adaptive Management Problems. - Martin Péron; Kai Helge Becker; Peter L. Bartlett; Iadine Chades (AAAI, 2017)

Two Approximate Dynamic Programming Algorithms for Managing Complete SIS Networks. - Martin Péron; Peter L. Bartlett; Kai Helge Becker; Kate J. Helmstedt; Iadine Chadès (COMPASS, 2018)

Solving K-MDPs. - Jonathan Ferrer-Mestres; Thomas G. Dietterich; Olivier Buffet; Iadine Chadès (ICAPS, 2020)

From climate change to pandemics: decision science can help scientists have impact. - Christopher M. Baker; Patricia T. Campbell; Iadine Chades; Angela J. Dean; Susan M. Hester; Matthew H. Holden; James M. McCaw; Jodie McVernon; Robert G. Moss; Freya M. Shearer; Hugh P. Possingham (CoRR, 2020)

K-N-MOMDPs: Towards Interpretable Solutions for Adaptive Management. - Jonathan Ferrer-Mestres; Thomas G. Dietterich; Olivier Buffet; Iadine Chades (AAAI, 2021)

A Universal 2-state n-action Adaptive Management Solver. - Luz Valerie Pascal; Marianne Akian; Samuel Nicol; Iadine Chades (AAAI, 2021)

Optimizing Sequential Experimental Design with Deep Reinforcement Learning. - Tom Blau; Edwin V. Bonilla; Iadine Chades; Amir Dezfouli (ICML, 2022)

Bayesian Optimisation for Mixed-Variable Inputs using Value Proposals. - Yan Zuo; Amir Dezfouli; Iadine Chades; David Alexander; Benjamin Ward Muir (CoRR, 2022)

Mixed-Variable Black-Box Optimisation Using Value Proposal Trees. - Yan Zuo; Vu Nguyen; Amir Dezfouli; David Alexander; Benjamin Ward Muir; Iadine Chades (AAAI, 2023)

Cross-Entropy Estimators for Sequential Experiment Design with Reinforcement Learning. - Tom Blau; Edwin V. Bonilla; Iadine Chades; Amir Dezfouli (CoRR, 2023)

Approximate Nearest Neighbour Search on Dynamic Datasets: An Investigation. - Ben Harwood; Amir Dezfouli; Iadine Chades; Conrad Sanderson (AI (2), 2024)