Devin White

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 5

Top Topics

Reinforcement Learning

Temporal Difference Learning

Disaster Response

Convolutional Neural Networks

Top Venues

Publications

Devin White, Mingkang Wu, Ellen R. Novoseller, Vernon J. Lawhern, Nicholas R. Waytowich, Yongcan Cao
Rating-Based Reinforcement Learning. AAAI (2024)
Devin White, Mingkang Wu, Ellen R. Novoseller, Vernon J. Lawhern, Nicholas R. Waytowich, Yongcan Cao
Rating-based Reinforcement Learning. CoRR (2023)
J. Travis Johnston, Steven R. Young, David Hughes, Robert M. Patton, Devin White
Optimizing Convolutional Neural Networks for Cloud Detection. MLHPC@SC (2017)
Dave Kelbe, Devin White, David Page, Kristin Safi, Andrew Hardin, Amy N. Rose
Employing spaceborne multispectral stereo pairs and pedestrian flow modeling to support disaster response activities in urban environments. IGARSS (2017)
Dave Kelbe, Devin White, Andrew Hardin, Jessica Moehl, Melanie Phillips
Sensor-agnostic photogrammetric image registration with applications to population modeling. IGARSS (2016)
Charlotte Till, Jamie Haverkamp, Devin White, Budhendra Bhaduri
Where does computational modeling of climate-induced migration stand and what challenges still need to be overcome. WSC (2015)
Jennifer Stoll, Ian Malave, Matt Campbell, Devin White
Gaming the Gap: A Small World Simulation of Human Migration Response to Stressors. DiGRA Conference (2013)