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Geir Dullerud

Revisiting PGD Attacks for Stability Analysis of Large-Scale Nonlinear Systems and Perception-Based Control

Jan 03, 2022
Aaron Havens, Darioush Keivan, Peter Seiler, Geir Dullerud, Bin Hu

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* Submitted to L4DC 2022

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Model-Free $μ$ Synthesis via Adversarial Reinforcement Learning

Nov 30, 2021
Darioush Keivan, Aaron Havens, Peter Seiler, Geir Dullerud, Bin Hu

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* Submitted to ACC 2022

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Policy Optimization for Markovian Jump Linear Quadratic Control: Gradient-Based Methods and Global Convergence

Nov 24, 2020
Joao Paulo Jansch-Porto, Bin Hu, Geir Dullerud

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Policy Learning of MDPs with Mixed Continuous/Discrete Variables: A Case Study on Model-Free Control of Markovian Jump Systems

Jun 04, 2020
Joao Paulo Jansch-Porto, Bin Hu, Geir Dullerud

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* Accepted to L4DC 2020

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Convergence Guarantees of Policy Optimization Methods for Markovian Jump Linear Systems

Feb 10, 2020
Joao Paulo Jansch-Porto, Bin Hu, Geir Dullerud

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* Accepted to ACC 2020

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Optimistic Optimization for Statistical Model Checking with Regret Bounds

Nov 04, 2019
Negin Musavi, Dawei Sun, Sayan Mitra, Geir Dullerud, Sanjay Shakkottai

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* 24 pages, 7 figures

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