Nicolas Drougard

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 23

Top Topics

Reinforcement Learning

Partially Observable

Markov Decision Processes

Top Venues

Publications

Giorgio Angelotti, Caroline P. C. Chanel, Adam H. M. Pinto, Christophe Lounis, Corentin Chauffaut, Nicolas Drougard
Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming. CoRR (2024)
Giorgio Angelotti, Caroline P. C. Chanel, Adam Henrique Moreira Pinto, Christophe Lounis, Corentin Chauffaut, Nicolas Drougard
Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming. AAMAS (2024)
Balita Heriniaina Rakotonarivo, Nicolas Drougard, Stéphane Conversy, Jérémie Garcia
Cleared for Safe Take-off? Improving the Usability of Mission Preparation to Mitigate the Safety Risks of Drone Operations. CHI (2023)
Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel
Data-Efficient Offline Reinforcement Learning with Approximate Symmetries. ICAART (Revised Selected Paper) (2023)
Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel
Data Augmentation Through Expert-Guided Symmetry Detection to Improve Performance in Offline Reinforcement Learning. ICAART (2) (2023)
Balita Heriniaina Rakotonarivo, Nicolas Drougard, Stéphane Conversy, Jérémie Garcia
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. IHM (2022)
Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel
Expert-guided Symmetry Detection in Markov Decision Processes. ICAART (2) (2022)
Frédéric Dehais, G. Vergotte, Nicolas Drougard, G. Ferraro, Bertille Somon, Caroline Ponzoni Carvalho Chanel, R. N. Roy
AI can fool us humans, but not at the psycho-physiological level: a hyperscanning and physiological synchrony study. SMC (2021)
Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel
Expert-Guided Symmetry Detection in Markov Decision Processes. CoRR (2021)
Xiaoqi Xu, Nicolas Drougard, Raphaëlle N. Roy
Dimensionality Reduction via the Laplace-Beltrami Operator: Application to EEG-based BCI. NER (2021)
Giorgio Angelotti, Nicolas Drougard, Caroline Ponzoni Carvalho Chanel
Exploitation vs Caution: Risk-sensitive Policies for Offline Learning. CoRR (2021)
Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel
Exploiting Expert-guided Symmetry Detection in Markov Decision Processes. CoRR (2021)
Balita Heriniaina Rakotonarivo, Nicolas Drougard, Stéphane Conversy, Jérémie Garcia
Revue Systématique de la Littérature sur le Soutien à la Sécurité des Opérations de Drones: Systematic Literature Review of Safety Support for Drones Operations. IHM (2021)
Giorgio Angelotti, Nicolas Drougard, Caroline Ponzoni Carvalho Chanel
Offline Learning for Planning: A Summary. CoRR (2020)
Raphaëlle N. Roy, Nicolas Drougard, Thibault Gateau, Frédéric Dehais, Caroline P. C. Chanel
How Can Physiological Computing Benefit Human-Robot Interaction? Robotics 9 (4) (2020)
Caroline P. Carvalho Chanel, Raphaëlle N. Roy, Frédéric Dehais, Nicolas Drougard
Towards Mixed-Initiative Human-Robot Interaction: Assessment of Discriminative Physiological and Behavioral Features for Performance Prediction. Sensors 20 (1) (2020)
Caroline P. C. Chanel, Raphaëlle N. Roy, Nicolas Drougard, Frédéric Dehais
Mixed-Initiative Human-Automated Agents Teaming: Towards a Flexible Cooperation Framework. HCI (7) (2020)
Frédéric Dehais, Alban Duprès, Sarah Blum, Nicolas Drougard, Sébastien Scannella, Raphaëlle N. Roy, Fabien Lotte
Monitoring Pilot's Mental Workload Using ERPs and Spectral Power with a Six-Dry-Electrode EEG System in Real Flight Conditions. Sensors 19 (6) (2019)
Jack-Antoine Charles, Caroline P. Carvalho Chanel, Corentin Chauffaut, Pascal Chauvin, Nicolas Drougard
Human-Agent Interaction Model Learning based on Crowdsourcing. HAI (2018)
Nicolas Goix, Nicolas Drougard, Romain Brault, Maël Chiapino
One Class Splitting Criteria for Random Forests. ACML (2017)
Nicolas Goix, Nicolas Drougard, Romain Brault, Maël Chiapino
One Class Splitting Criteria for Random Forests. CoRR (2016)
Nicolas Drougard, Florent Teichteil-Königsbuch, Jean-Loup Farges, Didier Dubois
Processus décisionnels de Markov possibilistes à observabilité mixte. Rev. d'Intelligence Artif. 29 (6) (2015)
Nicolas Drougard, Didier Dubois, Jean-Loup Farges, Florent Teichteil-Königsbuch
Planning in Partially Observable Domains with Fuzzy Epistemic States and Probabilistic Dynamics. SUM (2015)
Nicolas Drougard, Florent Teichteil-Königsbuch, Jean-Loup Farges, Didier Dubois
Structured Possibilistic Planning Using Decision Diagrams. AAAI (2014)
Nicolas Drougard, Florent Teichteil-Königsbuch, Jean-Loup Farges, Didier Dubois
Qualitative Possibilistic Mixed-Observable MDPs. UAI (2013)
Nicolas Drougard, Florent Teichteil-Königsbuch, Jean-Loup Farges, Didier Dubois
Qualitative Possibilistic Mixed-Observable MDPs. CoRR (2013)