Rowan McAllister
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In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States
Machine Learning for Autonomous Driving
RAP: Risk-Aware Prediction for Robust Planning
Is Anyone There? Learning a Planner Contingent on Perceptual Uncertainty
Academia to industry
Fresh Perspectives on the Future of Autonomous Driving
Control-Aware Prediction Objectives for Autonomous Driving
Workshop organization guide
Dynamics-Aware Comparison of Learned Reward Functions
Machine Learning for Autonomous Driving
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