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05/25/2023
Gaussian Processes with State-Dependent Noise for Stochastic Control
This paper considers a stochastic control framework, in which the residu...
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09/07/2022
Real-to-Sim: Deep Learning with Auto-Tuning to Predict Residual Errors using Sparse Data
Achieving highly accurate kinematic or simulator models that are close t...
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05/17/2022
Mobility, Communication and Computation Aware Federated Learning for Internet of Vehicles
While privacy concerns entice connected and automated vehicles to incorp...
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11/21/2021
Automated Controller Calibration by Kalman Filtering
This paper proposes a method for calibrating control parameters. Example...
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05/06/2020
Maximum Likelihood Methods for Inverse Learning of Optimal Controllers
This paper presents a framework for inverse learning of objective functi...
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06/24/2019
