Nicolas Drougard

According to our database, Nicolas Drougard authored at least 22 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Data-Efficient Offline Reinforcement Learning with Approximate Symmetries.

Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel

Proceedings of the Agents and Artificial Intelligence - 15th International Conference, 2023

Data Augmentation Through Expert-Guided Symmetry Detection to Improve Performance in Offline Reinforcement Learning.

Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Cleared for Safe Take-off? Improving the Usability of Mission Preparation to Mitigate the Safety Risks of Drone Operations.

Balita Heriniaina Rakotonarivo, Nicolas Drougard, Stéphane Conversy, Jérémie Garcia

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Sécurité avant tout! Étude par entretiens de la planification de missions de drones pour guider la conception des systèmes soutenant les analyses de sécurité et les demandes d'autorisation: Safety first! An Interview Study of Drone Mission Development to Guide System Design Supporting Safety Analyse and Authorization Requests.

Balita Heriniaina Rakotonarivo, Nicolas Drougard, Stéphane Conversy, Jérémie Garcia

Proceedings of the IHM '22: Proceedings of the 33rd Conference on l'Interaction Humain-Machine, 2022

Expert-guided Symmetry Detection in Markov Decision Processes.

Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

2021

Exploiting Expert-guided Symmetry Detection in Markov Decision Processes.

Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel

CoRR, 2021

Exploitation vs Caution: Risk-sensitive Policies for Offline Learning.

Giorgio Angelotti, Nicolas Drougard, Caroline Ponzoni Carvalho Chanel

CoRR, 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

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Dimensionality Reduction via the Laplace-Beltrami Operator: Application to EEG-based BCI.

Xiaoqi Xu, Nicolas Drougard, Raphaëlle N. Roy

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

Revue Systématique de la Littérature sur le Soutien à la Sécurité des Opérations de Drones: Systematic Literature Review of Safety Support for Drones Operations.

Balita Heriniaina Rakotonarivo, Nicolas Drougard, Stéphane Conversy, Jérémie Garcia

Proceedings of the IHM '21 - 32e Conférence Francophone sur l'Interaction Homme-Machine, Virtual Event, France, April 13, 2021

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

How Can Physiological Computing Benefit Human-Robot Interaction?

Raphaëlle N. Roy, Nicolas Drougard, Thibault Gateau, Frédéric Dehais, Caroline P. C. Chanel

Robotics, 2020

Offline Learning for Planning: A Summary.

Giorgio Angelotti, Nicolas Drougard, Caroline Ponzoni Carvalho Chanel

CoRR, 2020

Mixed-Initiative Human-Automated Agents Teaming: Towards a Flexible Cooperation Framework.

Caroline P. C. Chanel, Raphaëlle N. Roy, Nicolas Drougard, Frédéric Dehais

Proceedings of the Engineering Psychology and Cognitive Ergonomics. Cognition and Design, 2020

2019

Monitoring Pilot's Mental Workload Using ERPs and Spectral Power with a Six-Dry-Electrode EEG System in Real Flight Conditions.

Frédéric Dehais, Alban Duprès, Sarah Blum, Nicolas Drougard, Sébastien Scannella, Raphaëlle N. Roy, Fabien Lotte

Sensors, 2019

2018

Human-Agent Interaction Model Learning based on Crowdsourcing.

Jack-Antoine Charles, Caroline P. Carvalho Chanel, Corentin Chauffaut, Pascal Chauvin, Nicolas Drougard

Proceedings of the 6th International Conference on Human-Agent Interaction, 2018

2017

One Class Splitting Criteria for Random Forests.

Nicolas Goix, Nicolas Drougard, Romain Brault, Maël Chiapino

Proceedings of The 9th Asian Conference on Machine Learning, 2017

2015

Processus décisionnels de Markov possibilistes à observabilité mixte.

Nicolas Drougard, Florent Teichteil-Königsbuch, Jean-Loup Farges, Didier Dubois

Rev. d'Intelligence Artif., 2015

Planning in Partially Observable Domains with Fuzzy Epistemic States and Probabilistic Dynamics.

Nicolas Drougard, Didier Dubois, Jean-Loup Farges, Florent Teichteil-Königsbuch

Proceedings of the Scalable Uncertainty Management - 9th International Conference, 2015

2014

Structured Possibilistic Planning Using Decision Diagrams.

Nicolas Drougard, Florent Teichteil-Königsbuch, Jean-Loup Farges, Didier Dubois

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Qualitative Possibilistic Mixed-Observable MDPs.

Nicolas Drougard, Florent Teichteil-Königsbuch, Jean-Loup Farges, Didier Dubois

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013