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Resolving Multiple-Dynamic Model Uncertainty in Hypothesis-Driven Belief-MDPs

Nov 23, 2024 user Comment

Authors: Ofer Dagan, Tyler Becker, Zachary N. Sunberg Abstract: When human operators of cyber-physical systems encounter surprising behavior, they often consider multiple hypotheses that might

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Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems

Landing Trajectory Prediction for UAS Based on Generative Adversarial Network

Resolving Multiple-Dynamic Model Uncertainty in Hypothesis-Driven Belief-MDPs

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Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems

Landing Trajectory Prediction for UAS Based on Generative Adversarial Network

Resolving Multiple-Dynamic Model Uncertainty in Hypothesis-Driven Belief-MDPs

Whack-a-Chip: The Futility of Hardware-Centric Export Controls

Revisiting the Integration of Convolution and Attention for Vision Backbone

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems

Landing Trajectory Prediction for UAS Based on Generative Adversarial Network

Resolving Multiple-Dynamic Model Uncertainty in Hypothesis-Driven Belief-MDPs

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Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems

Landing Trajectory Prediction for UAS Based on Generative Adversarial Network

Resolving Multiple-Dynamic Model Uncertainty in Hypothesis-Driven Belief-MDPs

Whack-a-Chip: The Futility of Hardware-Centric Export Controls

Revisiting the Integration of Convolution and Attention for Vision Backbone

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems