2 citations · 4 across the 4 of their papers we have counts for
5 papers
Greener Deep Reinforcement Learning: Analysis of Energy and Carbon Efficiency Across Atari Benchmarks
Jason Gardner, Ayan Dutta, Swapnoneel Roy +2
The growing computational demands of deep reinforcement learning (DRL) have raised concerns about the environmental and economic costs of training large-scale models. While algorit…
Bounomodes: the grazing ox algorithm for exploration of clustered anomalies
Samuel Matloob, Ayan Dutta, O. Patrick Kreidl +2
A common class of algorithms for informative path planning (IPP) follows boustrophedon ("as the ox turns") patterns, which aim to achieve uniform area coverage. However, IPP is oft…
Generative Nowcasting of Marine Fog Visibility in the Grand Banks area and Sable Island in Canada
Eren Gultepe, Sen Wang, Byron Blomquist +4
This study presents the application of generative deep learning techniques to evaluate marine fog visibility nowcasting using the FATIMA (Fog and turbulence interactions in the mar…
Waterberry Farms: A Novel Benchmark For Informative Path Planning
Samuel Matloob, Partha P. Datta, O. Patrick Kreidl +3
Recent developments in robotic and sensor hardware make data collection with mobile robots (ground or aerial) feasible and affordable to a wide population of users. The newly emerg…
Limiting Self-Propagating Malware Based on Connection Failure Behavior through Hyper-Compact Estimators
You Zhou, Yian Zhou, Shigang Chen +1
Self-propagating malware (e.g., an Internet worm) exploits security loopholes in software to infect servers and then use them to scan the Internet for more vulnerable servers. Whil…