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05/11/2023
Neural Lyapunov Control for Discrete-Time Systems
While ensuring stability for linear systems is well understood, it remai...
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12/28/2022
Certifying Safety in Reinforcement Learning under Adversarial Perturbation Attacks
Function approximation has enabled remarkable advances in applying reinf...
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06/21/2022
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum
Despite considerable advances in deep reinforcement learning, it has bee...
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04/29/2022
Manipulating Elections by Changing Voter Perceptions
The integrity of elections is central to democratic systems. However, a ...
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09/23/2021
