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2020 – today
- 2024
[c15]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: 58-67- [i7]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 abs/2402.05703 (2024) - 2023
- [c14]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: 750:1-750:17 - [c13]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: 115-124 - [c12]Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel:
Data-Efficient Offline Reinforcement Learning with Approximate Symmetries. ICAART (Revised Selected Paper) 2023: 164-186 - 2022
- [c11]Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel:
Expert-guided Symmetry Detection in Markov Decision Processes. ICAART (2) 2022: 88-98 - [c10]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: 10:1-10:13 - 2021
- [c9]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: 13:1-13:16 - [c8]Xiaoqi Xu, Nicolas Drougard, Raphaëlle N. Roy:
Dimensionality Reduction via the Laplace-Beltrami Operator: Application to EEG-based BCI. NER 2021: 347-350 - [c7]Frédéric Dehais, G. Vergotte, Nicolas Drougard, G. Ferraro, Bertille Somon, Caroline Ponzoni Carvalho Chanel, Raphaëlle N. Roy:
AI can fool us humans, but not at the psycho-physiological level: a hyperscanning and physiological synchrony study. SMC 2021: 3380-3385 - [i6]Giorgio Angelotti, Nicolas Drougard, Caroline Ponzoni Carvalho Chanel:
Exploitation vs Caution: Risk-sensitive Policies for Offline Learning. CoRR abs/2105.13431 (2021) - [i5]Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel:
Expert-Guided Symmetry Detection in Markov Decision Processes. CoRR abs/2111.10297 (2021) - [i4]Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel:
Exploiting Expert-guided Symmetry Detection in Markov Decision Processes. CoRR abs/2112.09943 (2021) - 2020
- [j4]Raphaëlle N. Roy, Nicolas Drougard, Thibault Gateau, Frédéric Dehais, Caroline P. C. Chanel:
How Can Physiological Computing Benefit Human-Robot Interaction? Robotics 9(4): 100 (2020) - [j3]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): 296 (2020) - [c6]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: 117-133 - [i3]Giorgio Angelotti, Nicolas Drougard, Caroline Ponzoni Carvalho Chanel:
Offline Learning for Planning: A Summary. CoRR abs/2010.01931 (2020)
2010 – 2019
- 2019
- [j2]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): 1324 (2019) - 2018
- [c5]Jack-Antoine Charles, Caroline P. Carvalho Chanel, Corentin Chauffaut, Pascal Chauvin, Nicolas Drougard:
Human-Agent Interaction Model Learning based on Crowdsourcing. HAI 2018: 20-28 - 2017
- [c4]Nicolas Goix, Nicolas Drougard, Romain Brault, Maël Chiapino:
One Class Splitting Criteria for Random Forests. ACML 2017: 343-358 - 2016
- [i2]Nicolas Goix, Nicolas Drougard, Romain Brault, Maël Chiapino:
One Class Splitting Criteria for Random Forests. CoRR abs/1611.01971 (2016) - 2015
- [j1]Nicolas Drougard, Florent Teichteil-Königsbuch, Jean-Loup Farges, Didier Dubois:
Processus décisionnels de Markov possibilistes à observabilité mixte. Rev. d'Intelligence Artif. 29(6): 629-653 (2015) - [c3]Nicolas Drougard, Didier Dubois, Jean-Loup Farges, Florent Teichteil-Königsbuch:
Planning in Partially Observable Domains with Fuzzy Epistemic States and Probabilistic Dynamics. SUM 2015: 220-233 - 2014
- [c2]Nicolas Drougard, Florent Teichteil-Königsbuch, Jean-Loup Farges, Didier Dubois:
Structured Possibilistic Planning Using Decision Diagrams. AAAI 2014: 2257-2263 - 2013
- [c1]Nicolas Drougard, Florent Teichteil-Königsbuch, Jean-Loup Farges, Didier Dubois:
Qualitative Possibilistic Mixed-Observable MDPs. UAI 2013 - [i1]Nicolas Drougard, Florent Teichteil-Königsbuch, Jean-Loup Farges, Didier Dubois:
Qualitative Possibilistic Mixed-Observable MDPs. CoRR abs/1309.6826 (2013)
Coauthor Index
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