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05/26/2023
Physical Deep Reinforcement Learning: Safety and Unknown Unknowns
In this paper, we propose the Phy-DRL: a physics-model-regulated deep re...
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03/29/2023
Physical Deep Reinforcement Learning Towards Safety Guarantee
Deep reinforcement learning (DRL) has achieved tremendous success in man...
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09/27/2022
Phy-Taylor: Physics-Model-Based Deep Neural Networks
Purely data-driven deep neural networks (DNNs) applied to physical engin...
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08/26/2019
Novel Stealthy Attack and Defense Strategies for Networked Control Systems
This paper studies novel attack and defense strategies, based on a class...
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03/16/2018
Spread of Information with Confirmation Bias in Cyber-Social Networks
This paper provides a model to investigate information spreading over cy...
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11/30/2017
Strategic Topology Switching for Security-Part I: Consensus & Switching Times
This two-part paper considers strategic topology switching for the secon...
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11/30/2017