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Andreas A. Malikopoulos

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Safe Merging in Mixed Traffic with Confidence

Mar 09, 2024
Heeseung Bang, Aditya Dave, Andreas A. Malikopoulos

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A Framework for Effective AI Recommendations in Cyber-Physical-Human Systems

Mar 08, 2024
Aditya Dave, Heeseung Bang, Andreas A. Malikopoulos

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Multi-Robot Cooperative Navigation in Crowds: A Game-Theoretic Learning-Based Model Predictive Control Approach

Oct 10, 2023
Viet-Anh Le, Vaishnav Tadiparthi, Behdad Chalaki, Hossein Nourkhiz Mahjoub, Jovin D'sa, Ehsan Moradi-Pari, Andreas A. Malikopoulos

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A Q-learning Approach for Adherence-Aware Recommendations

Sep 12, 2023
Ioannis Faros, Aditya Dave, Andreas A. Malikopoulos

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Connected and Automated Vehicles in Mixed-Traffic: Learning Human Driver Behavior for Effective On-Ramp Merging

Apr 01, 2023
Nishanth Venkatesh, Viet-Anh Le, Aditya Dave, Andreas A. Malikopoulos

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Worst-Case Control and Learning Using Partial Observations Over an Infinite Time-Horizon

Mar 31, 2023
Aditya Dave, Ioannis Faros, Nishanth Venkatesh, Andreas A. Malikopoulos

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A Hierarchical Approach to Optimal Flow-Based Routing and Coordination of Connected and Automated Vehicles

Mar 31, 2023
Heeseung Bang, Andreas A. Malikopoulos

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Approximate Information States for Worst-Case Control and Learning in Uncertain Systems

Jan 12, 2023
Aditya Dave, Nishanth Venkatesh, Andreas A. Malikopoulos

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A Constraint-Driven Approach to Line Flocking: The V Formation as an Energy-Saving Strategy

Sep 23, 2022
Logan E. Beaver, Christopher Kroninger, Michael Dorothy, Andreas A. Malikopoulos

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