POMDP solving: what rewards do you really expect at execution? - Caroline Ponzoni Carvalho Chanel; Jean-Loup Farges; Florent Teichteil-Königsbuch; Guillaume Infantes (STAIRS, 2010)

POMDP-based online target detection and recognition for autonomous UAVs. - Caroline Ponzoni Carvalho Chanel; Florent Teichteil-Königsbuch; Charles Lesire (ECAI, 2012)

Multi-Target Detection and Recognition by UAVs Using Online POMDPs. - Caroline Ponzoni Carvalho Chanel; Florent Teichteil-Königsbuch; Charles Lesire (AAAI, 2013)

Properly Acting under Partial Observability with Action Feasibility Constraints. - Caroline Ponzoni Carvalho Chanel; Florent Teichteil-Königsbuch (ECML/PKDD (1), 2013)

A Robotic Execution Framework for Online Probabilistic (Re)Planning. - Caroline Ponzoni Carvalho Chanel; Charles Lesire; Florent Teichteil-Königsbuch (ICAPS, 2014)

MOMDP-Based Target Search Mission Taking into Account the Human Operator's Cognitive State. - Paulo Eduardo Ubaldino de Souza; Caroline Ponzoni Carvalho Chanel; Frédéric Dehais (ICTAI, 2015)

Considering human's non-deterministic behavior and his availability state when designing a collaborative human-robots system. - Thibault Gateau; Caroline Ponzoni Carvalho Chanel; Mai-Huy Le; Frédéric Dehais (IROS, 2016)

Multi-robot Cooperative Systems for Exploration: Advances in Dealing with Constrained Communication Environments. - Facundo Benavides; Pablo Monzón; Caroline P. Carvalho Chanel; Eduardo Grampín (LARS/SBR, 2016)

Towards human-robot interaction: A framing effect experiment. - Paulo E. U. de Souza; Caroline Ponzoni Carvalho Chanel; Frédéric Dehais; Sidney Givigi (SMC, 2016)

Online Proactive Planning with Multiple Hypotheses. - Jorrit T'Hooft; Charles Lesire; Caroline Ponzoni Carvalho Chanel (STAIRS, 2016)

Pre-stimulus antero-posterior EEG connectivity predicts performance in a UAV monitoring task. - Mehdi Senoussi; Kevin J. Verdiere; Angela Bovo; Caroline P. Carvalho Chanel; Frédéric Dehais; Raphaëlle N. Roy (SMC, 2017)

Human-Agent Interaction Model Learning based on Crowdsourcing. - Jack-Antoine Charles; Caroline P. Carvalho Chanel; Corentin Chauffaut; Pascal Chauvin; Nicolas Drougard (HAI, 2018)

Towards Multi-UAV and Human Interaction Driving System Exploiting Human Mental State Estimation. - Gaganpreet Singh; Raphaëlle N. Roy; Caroline P. Carvalho Chanel (BIOINFORMATICS, 2019)

Online ECG-based Features for Cognitive Load Assessment. - Caroline P. C. Chanel; Matthew D. Wilson; Sébastien Scannella (SMC, 2019)

AMPLE: an anytime planning and execution framework for dynamic and uncertain problems in robotics. - Caroline Ponzoni Carvalho Chanel; Alexandre Albore; Jorrit T'Hooft; Charles Lesire; Florent Teichteil-Königsbuch (Auton. Robots, 2019)

Entropy-Based Adaptive Exploit-Explore Coefficient for Monte-Carlo Path Planning. - Ana Raquel Carmo; Jean-Alexis Delamer; Yoko Watanabe; Rodrigo Ventura 001; Caroline P. C. Chanel (ECAI, 2020)

Mixed-Initiative Human-Automated Agents Teaming: Towards a Flexible Cooperation Framework. - Caroline P. C. Chanel; Raphaëlle N. Roy; Nicolas Drougard; Frédéric Dehais (HCI (7), 2020)

Offline Learning for Planning: A Summary. - Giorgio Angelotti; Nicolas Drougard; Caroline Ponzoni Carvalho Chanel (CoRR, 2020)

Predicting Human Operator's Decisions Based on Prospect Theory. - Paulo E. U. de Souza; Caroline P. C. Chanel; Melody Mailliez; Frédéric Dehais (Interact. Comput., 2020)

How Can Physiological Computing Benefit Human-Robot Interaction? - Raphaëlle N. Roy; Nicolas Drougard; Thibault Gateau; Frédéric Dehais; Caroline P. C. Chanel (Robotics, 2020)

Towards Mixed-Initiative Human-Robot Interaction: Assessment of Discriminative Physiological and Behavioral Features for Performance Prediction. - Caroline P. Carvalho Chanel; Raphaëlle N. Roy; Frédéric Dehais; Nicolas Drougard (Sensors, 2020)

Connecting AI-based Oracles to Blockchains via an Auditable Auction Protocol. - Bernardo Sata; Aizar Berlanga; Caroline P. C. Chanel; Jérôme Lacan (BRAINS, 2021)

AI can fool us humans, but not at the psycho-physiological level: a hyperscanning and physiological synchrony study. - Frédéric Dehais; G. Vergotte; Nicolas Drougard; G. Ferraro; Bertille Somon; Caroline Ponzoni Carvalho Chanel; Raphaëlle N. Roy (SMC, 2021)

Exploitation vs Caution: Risk-sensitive Policies for Offline Learning. - Giorgio Angelotti; Nicolas Drougard; Caroline Ponzoni Carvalho Chanel (CoRR, 2021)

Exploiting Expert-guided Symmetry Detection in Markov Decision Processes. - Giorgio Angelotti; Nicolas Drougard; Caroline P. C. Chanel (CoRR, 2021)

Towards a Blockchain-Based Multi-UAV Surveillance System. - Mário Gabriel Santos De Campos; Caroline P. C. Chanel; Corentin Chauffaut; Jérôme Lacan (Frontiers Robotics AI, 2021)

Safe path planning for UAV urban operation under GNSS signal occlusion risk. - Jean-Alexis Delamer; Yoko Watanabe; Caroline P. C. Chanel (Robotics Auton. Syst., 2021)

Learning Path Constraints for UAV Autonomous Navigation Under Uncertain GNSS Availability. - Marion Zaninotti; Charles Lesire; Yoko Watanabe; Caroline P. C. Chanel (PAIS@ECAI, 2022)

POMDP-Based Adaptive Interaction Through Physiological Computing. - Gaganpreet Singh; Raphaëlle N. Roy; Caroline P. C. Chanel (HHAI, 2022)

Expert-guided Symmetry Detection in Markov Decision Processes. - Giorgio Angelotti; Nicolas Drougard; Caroline P. C. Chanel (ICAART (2), 2022)

Towards a POMDP-based Control in Hybrid Brain-Computer Interfaces. - Juan Jesús Torre Tresols; Caroline P. C. Chanel; Frédéric Dehais (SMC, 2022)

Enabling Blockchain Services for IoE with Zk-Rollups. - Thomas Lavaur; Jérôme Lacan; Caroline P. C. Chanel (Sensors, 2022)

Proven Transaction Flow Control for zk-Rollups. - Sergio Martínez; Thomas Lavaur; Jérôme Lacan; Caroline P. C. Chanel (BRAINS, 2023)

Data Augmentation Through Expert-Guided Symmetry Detection to Improve Performance in Offline Reinforcement Learning. - Giorgio Angelotti; Nicolas Drougard; Caroline P. C. Chanel (ICAART (2), 2023)

Data-Efficient Offline Reinforcement Learning with Approximate Symmetries. - Giorgio Angelotti; Nicolas Drougard; Caroline P. C. Chanel (ICAART (Revised Selected Paper), 2023)

Online Proactive Multi-Task Assignment with Resource Availability Anticipation. - Déborah Conforto Nedelmann; Jérôme Lacan; Caroline P. C. Chanel (AREA@ECAI, 2023)

Modular zk-rollup on-demand. - Thomas Lavaur; Jonathan Detchart; Jérôme Lacan; Caroline P. C. Chanel (J. Netw. Comput. Appl., 2023)

Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming. - Giorgio Angelotti; Caroline P. C. Chanel; Adam Henrique Moreira Pinto; Christophe Lounis; Corentin Chauffaut; Nicolas Drougard (AAMAS, 2024)

SKATE : Successive Rank-based Task Assignment for Proactive Online Planning. - Déborah Conforto Nedelmann; Jérôme Lacan; Caroline P. C. Chanel (ICAPS, 2024)

FIT-SLAM - Fisher Information and Traversability estimation-based Active SLAM for exploration in 3D environments. - Suchetan Saravanan; Corentin Chauffaut; Caroline P. C. Chanel; Damien Vivet (ICARA, 2024)

Verifiable Multi-Agent Multi-Task Assignment. - Thomas Lavaur; Déborah Conforto Nedelmann; Corentin Chauffaut; Jérôme Lacan; Caroline P. C. Chanel (SecDev, 2024)

POMDP-BCI: A Benchmark of (Re)Active BCI Using POMDP to Issue Commands. - Juan Jesús Torre Tresols; Caroline P. C. Chanel; Frédéric Dehais (IEEE Trans. Biomed. Eng., 2024)

Causal Reinforcement Learning in Iterated Prisoner's Dilemma. - Yosra Kazemi; Caroline P. C. Chanel; Sidney Givigi (IEEE Trans. Comput. Soc. Syst., 2024)

Compromis entre sécurité et efficacité : Garanties formelles pour les MDP orientés but. - Matisse Roche; Yoko Watanabe; Caroline P. C. Chanel (JIAF-JFPDA, 2025)