Distributionally Robust Surrogate Optimal Control for Large-Scale Dynamical Systems. - Aaron Kandel; Saehong Park; Hector Eduardo Perez; Geumbee Kim; Yohwan Choi; Hyoung Jun Ahn; Won Tae Joe; Scott J. Moura (ACC, 2020)

Safe Wasserstein Constrained Deep Q-Learning. - Aaron Kandel; Scott J. Moura (CoRR, 2020)

Safe Zero-Shot Model-Based Learning and Control: A Wasserstein Distributionally Robust Approach. - Aaron Kandel; Scott J. Moura (CoRR, 2020)

Fisher Identifiability Analysis of Longitudinal Vehicle Dynamics: Theory and Experiments. - Aaron Kandel; Mohamed Wahba; Hosam K. Fathy (CoRR, 2020)

Fuel and Time Optimal USV Trajectory Planning under Flexible Refueling Constraints. - Aaron Kandel; Chu Xu; David Cardona; Carey Whitehair (CoRR, 2020)

Distributionally Robust Surrogate Optimal Control for High-Dimensional Systems. - Aaron Kandel; Saehong Park; Scott J. Moura (IEEE Trans. Control. Syst. Technol., 2023)

OPTIMUS: Discrete Event Simulator for Vehicle-to-Building Charging Optimization. - Jose Paolo Talusan; Rishav Sen; Ava Pettet; Aaron Kandel; Yoshinori Suzue; Liam Pedersen; Ayan Mukhopadhyay; Abhishek Dubey (SMARTCOMP, 2024)

Safe Learning MPC With Limited Model Knowledge and Data. - Aaron Kandel; Scott J. Moura (IEEE Trans. Control. Syst. Technol., 2024)

Reinforcement Learning-based Approach for Vehicle-to-Building Charging with Heterogeneous Agents and Long Term Rewards. - Fangqi Liu 001; Rishav Sen; Jose Paolo Talusan; Ava Pettet; Aaron Kandel; Yoshinori Suzue; Ayan Mukhopadhyay; Abhishek Dubey (AAMAS, 2025)