M
Mykel J. Kochenderfer
Researcher at Stanford University
Publications - 449
Citations - 12534
Mykel J. Kochenderfer is an academic researcher from Stanford University. The author has contributed to research in topics: Computer science & Markov decision process. The author has an hindex of 41, co-authored 388 publications receiving 8215 citations. Previous affiliations of Mykel J. Kochenderfer include Massachusetts Institute of Technology & University of Edinburgh.
Papers
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Multiagent Planning for Persistent Surveillance
Mykel J. Kochenderfer,Christopher Amato,Girish Chowdhary,Jonathan P. How,Hayley J. Davison Reynolds,Jason R. Thornton,Pedro A. Torres-Carrasquillo,N. Kemal Ure,John Vian +8 more
TL;DR: In this paper, an important application of unmanned aircraft is persistent surveillance over areas of interest, where a team of aircraft can be used to monitor a forest for biological activities, a disaster flooded area for water levels, or a battle theater for movement.
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Generating Probabilistic Safety Guarantees for Neural Network Controllers
TL;DR: In this article, an adaptive verification approach was developed to generate an overapproximation of the neural network policy given a stochastic dynamics model for aircraft collision avoidance neural networks that are loosely inspired by Airborne Collision Avoidance System X.
Proceedings ArticleDOI
Image-based Guidance of Autonomous Aircraft for Wildfire Surveillance and Prediction
TL;DR: Two approaches to state estimation from wildfire images obtained from noisy on-board cameras are proposed, one using a simple Kalman filter and the other using a particle filter to predict wildfire growth and observations to estimate uncertainties relating to wildfire expansion.
Posted Content
Parameter-Conditioned Sequential Generative Modeling of Fluid Flows
TL;DR: In this article, a new method for learning neural network models capable of performing efficient parameterized simulations of fluid flows is introduced, which can capture local and global properties of the flow fields at a wide array of flow conditions.