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03/06/2023
A Unified Algebraic Perspective on Lipschitz Neural Networks
Important research efforts have focused on the design and training of ne...
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01/03/2022
Revisiting PGD Attacks for Stability Analysis of Large-Scale Nonlinear Systems and Perception-Based Control
Many existing region-of-attraction (ROA) analysis tools find difficulty ...
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11/30/2021
Model-Free μ Synthesis via Adversarial Reinforcement Learning
Motivated by the recent empirical success of policy-based reinforcement ...
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06/05/2021
Forced Variational Integrator Networks for Prediction and Control of Mechanical Systems
As deep learning becomes more prevalent for prediction and control of re...
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03/24/2021
On Imitation Learning of Linear Control Policies: Enforcing Stability and Robustness Constraints via LMI Conditions
When applying imitation learning techniques to fit a policy from expert ...
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12/09/2019
Learning Latent State Spaces for Planning through Reward Prediction
Model-based reinforcement learning methods typically learn models for hi...
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06/28/2019