Caroline P. C. Chanel

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 28

Top Topics

Partial Observability

Reinforcement Learning

Markov Decision Processes

Top Venues

Publications

Déborah Conforto Nedelmann, Jérôme Lacan, Caroline P. C. Chanel
SKATE : Successive Rank-based Task Assignment for Proactive Online Planning. ICAPS (2024)
Yosra Kazemi, Caroline P. C. Chanel, Sidney Givigi
Causal Reinforcement Learning in Iterated Prisoner's Dilemma. IEEE Trans. Comput. Soc. Syst. 11 (2) (2024)
Juan Jesús Torre Tresols, Caroline P. C. Chanel, Frédéric Dehais
POMDP-BCI: A Benchmark of (Re)Active BCI Using POMDP to Issue Commands. IEEE Trans. Biomed. Eng. 71 (3) (2024)
Suchetan Saravanan, Corentin Chauffaut, Caroline P. C. Chanel, Damien Vivet
FIT-SLAM - Fisher Information and Traversability estimation-based Active SLAM for exploration in 3D environments. ICARA (2024)
Suchetan Saravanan, Corentin Chauffaut, Caroline P. C. Chanel, Damien Vivet
FIT-SLAM - Fisher Information and Traversability estimation-based Active SLAM for exploration in 3D environments. CoRR (2024)
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)
Déborah Conforto Nedelmann, Jérôme Lacan, Caroline P. C. Chanel
Online Proactive Multi-Task Assignment with Resource Availability Anticipation. AREA@ECAI (2023)
Thomas Lavaur, Jonathan Detchart, Jérôme Lacan, Caroline P. C. Chanel
Modular zk-rollup on-demand. J. Netw. Comput. Appl. 217 (2023)
Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel
Data-Efficient Offline Reinforcement Learning with Approximate Symmetries. ICAART (Revised Selected Paper) (2023)
Thomas Lavaur, Jonathan Detchart, Jérôme Lacan, Caroline P. C. Chanel
Modular zk-Rollup On-Demand. CoRR (2023)
Sergio Martínez, Thomas Lavaur, Jérôme Lacan, Caroline P. C. Chanel
Proven Transaction Flow Control for zk-Rollups. BRAINS (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)
Thomas Lavaur, Jérôme Lacan, Caroline P. C. Chanel
Enabling Blockchain Services for IoE with Zk-Rollups. Sensors 22 (17) (2022)
Marion Zaninotti, Charles Lesire, Yoko Watanabe, Caroline P. C. Chanel
Learning Path Constraints for UAV Autonomous Navigation Under Uncertain GNSS Availability. PAIS@ECAI (2022)
Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel
Expert-guided Symmetry Detection in Markov Decision Processes. ICAART (2) (2022)
Juan Jesús Torre Tresols, Caroline P. C. Chanel, Frédéric Dehais
Towards a POMDP-based Control in Hybrid Brain-Computer Interfaces. SMC (2022)
Gaganpreet Singh, Raphaëlle N. Roy, Caroline P. C. Chanel
POMDP-Based Adaptive Interaction Through Physiological Computing. HHAI (2022)
Bernardo Sata, Aizar Berlanga, Caroline P. C. Chanel, Jérôme Lacan
Connecting AI-based Oracles to Blockchains via an Auditable Auction Protocol. BRAINS (2021)
Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel
Expert-Guided Symmetry Detection in Markov Decision Processes. CoRR (2021)
Jean-Alexis Delamer, Yoko Watanabe, Caroline P. C. Chanel
Safe path planning for UAV urban operation under GNSS signal occlusion risk. Robotics Auton. Syst. 142 (2021)
Mário Gabriel Santos De Campos, Caroline P. C. Chanel, Corentin Chauffaut, Jérôme Lacan
Towards a Blockchain-Based Multi-UAV Surveillance System. Frontiers Robotics AI 8 (2021)
Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel
Exploiting Expert-guided Symmetry Detection in Markov Decision Processes. CoRR (2021)
Ana Raquel Carmo, Jean-Alexis Delamer, Yoko Watanabe, Rodrigo Ventura, Caroline P. C. Chanel
Entropy-Based Adaptive Exploit-Explore Coefficient for Monte-Carlo Path Planning. ECAI (2020)
Paulo E. U. de Souza, Caroline P. C. Chanel, Melody Mailliez, Frédéric Dehais
Predicting Human Operator's Decisions Based on Prospect Theory. Interact. Comput. 32 (3) (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. C. Chanel, Raphaëlle N. Roy, Nicolas Drougard, Frédéric Dehais
Mixed-Initiative Human-Automated Agents Teaming: Towards a Flexible Cooperation Framework. HCI (7) (2020)
Caroline P. C. Chanel, Matthew D. Wilson, Sébastien Scannella
Online ECG-based Features for Cognitive Load Assessment. SMC (2019)