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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

* 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

* 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

* 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

* 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

* 24 pages, 7 figures 

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CyPhyHouse: A Programming, Simulation, and Deployment Toolchain for Heterogeneous Distributed Coordination


Oct 10, 2019
Ritwika Ghosh, Joao P. Jansch-Porto, Chiao Hsieh, Amelia Gosse, Minghao Jiang, Hebron Taylor, Peter Du, Sayan Mitra, Geir Dullerud


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