Christopher Hixenbaugh
Naval Undersea Warfare Center Division Newport, University of Massachusetts Dartmouth
reinforcement learning
deep reinforcement learning
uuv control
knowledge distillation vector quantization edge devices model compression out of distribution detection
2
presentations
SHORT BIO
Chris Hixenbaugh is a researcher at the Naval Undersea Warfare Center Division Newport and Ph.D. candidate at the University of Massachusetts Dartmouth. His broad research interests are in Deep Reinforcement Learning. His research has recently focused on improving the computational efficiency of Deep Reinforcement Learning methods for autonomous vehicle control systems.
Presentations
Improving Knowledge Distillation with Discrete Feature Vector Representation
Russell Thompson and 2 other authors
Mixed Precision Reinforcement Learning for Control Simulation of Unmanned Undersea Vehicles
Christopher Hixenbaugh and 2 other authors