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03/26/2023
Critical Zones for Comfortable Collision Avoidance with a Leading Vehicle
This paper provides a general framework for efficiently obtaining the ap...
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03/16/2023
Controlled Descent Training
In this work, a novel and model-based artificial neural network (ANN) tr...
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05/25/2022
On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity
Most complex machine learning and modelling techniques are prone to over...
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01/21/2022
Deep Q-learning: a robust control approach
In this paper, we place deep Q-learning into a control-oriented perspect...
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09/21/2021
Short-term traffic prediction using physics-aware neural networks
In this work, we propose an algorithm performing short-term predictions ...
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07/19/2021
Constrained Policy Gradient Method for Safe and Fast Reinforcement Learning: a Neural Tangent Kernel Based Approach
This paper presents a constrained policy gradient algorithm. We introduc...
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01/27/2021