
Caroline P. C. Chanel
ISAE-SUPAERO
path planning
mixed-observability markov decision process (momdp)
entropy-based explore-exploit coefficient (ebc)
monte-carlo tree search methods
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presentations
3
number of views
SHORT BIO
Caroline P. C. Chanel received the B. Eng. degree in Automatic control from Pontifícia Universidade Católica do Rio Grande do Sul, and received her M. Sc. in Automatic, Informatics and Decision Systems from Université de Toulouse III. She holds a Ph.D. in Automatic Control and Embedded Systems. Her Ph.D. received a special mention from ISAE–SUPAERO Foundation. Caroline was Amelia Earhart Fellow in 2011. Currently, she works at ISAE–SUPAERO as Associated Professor in the Aerospace vehicles Design and Control Department. Her research aims to develop decision models for path, perception and mission planning considering uncertainties and degraded functioning modes, as well as, decision models to drive the interaction between automated systems and human operators.
Presentations

Entropy-based adaptive exploit-explore coefficient for Monte-Carlo path planning
Caroline P. C. Chanel