20 citations · 43 across the 19 of their papers we have counts for
4 papers · 1 filter
Discovering strategies for coastal resilience with AI-based prediction and optimization
Jared Markowitz, Alexander New, Jennifer Sleeman +5
Tropical storms cause extensive property damage and loss of life, making them one of the most destructive types of natural hazards. The development of predictive models that identi…
Large Language Models are Highly Aligned with Human Ratings of Emotional Stimuli
Mattson Ogg, Chace Ashcraft, Ritwik Bose +2
Emotions exert an immense influence over human behavior and cognition in both commonplace and high-stress tasks. Discussions of whether or how to integrate large language models (L…
Backdoors in DRL: Four Environments Focusing on In-distribution Triggers
Chace Ashcraft, Ted Staley, Josh Carney +4
Backdoor attacks, or trojans, pose a security risk by concealing undesirable behavior in deep neural network models. Open-source neural networks are downloaded from the internet da…
Investigating the Treacherous Turn in Deep Reinforcement Learning
Chace Ashcraft, Kiran Karra, Josh Carney +1
The Treacherous Turn refers to the scenario where an artificial intelligence (AI) agent subtly, and perhaps covertly, learns to perform a behavior that benefits itself but is deeme…