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Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data
Optimal transport (OT) has generated much recent interest by its capabil...
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Context-Aware Safe Reinforcement Learning for Non-Stationary Environments
Safety is a critical concern when deploying reinforcement learning agent...
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Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
Continuously learning to solve unseen tasks with limited experience has ...
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Robust Unsupervised Learning of Temporal Dynamic Interactions
Robust representation learning of temporal dynamic interactions is an im...
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Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios
Interpretation of common-yet-challenging interaction scenarios can benef...
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Probabilistic Trajectory Prediction for Autonomous Vehicles with Attentive Recurrent Neural Process
Predicting surrounding vehicle behaviors are critical to autonomous vehi...
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Recurrent Attentive Neural Process for Sequential Data
Neural processes (NPs) learn stochastic processes and predict the distri...
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A General Framework of Learning Multi-Vehicle Interaction Patterns from Videos
Semantic learning and understanding of multi-vehicle interaction pattern...
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Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field
Autonomous vehicles (AV) are expected to navigate in complex traffic sce...
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Estimating Risk Levels of Driving Scenarios through Analysis of Driving Styles for Autonomous Vehicles
In order to operate safely on the road, autonomous vehicles need not onl...
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A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives
A multitude of publicly-available driving datasets and data platforms ha...
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