Aaron Kandel

According to our database, Aaron Kandel authored at least 9 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Reinforcement Learning-based Approach for Vehicle-to-Building Charging with Heterogeneous Agents and Long Term Rewards.

Fangqi Liu, Rishav Sen, Jose Paolo Talusan, Ava Pettet, Aaron Kandel, Yoshinori Suzue, Ayan Mukhopadhyay, Abhishek Dubey

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

2024

Safe Learning MPC With Limited Model Knowledge and Data.

Aaron Kandel, Scott J. Moura

IEEE Trans. Control. Syst. Technol., March, 2024

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

Proceedings of the IEEE International Conference on Smart Computing, 2024

2023

Distributionally Robust Surrogate Optimal Control for High-Dimensional Systems.

Aaron Kandel, Saehong Park, Scott J. Moura

IEEE Trans. Control. Syst. Technol., May, 2023

2020

Fuel and Time Optimal USV Trajectory Planning under Flexible Refueling Constraints.

Aaron Kandel, Chu Xu, David Cardona, Carey Whitehair

CoRR, 2020

Fisher Identifiability Analysis of Longitudinal Vehicle Dynamics: Theory and Experiments.

Aaron Kandel, Mohamed Wahba, Hosam K. Fathy

CoRR, 2020

Safe Zero-Shot Model-Based Learning and Control: A Wasserstein Distributionally Robust Approach.

Aaron Kandel, Scott J. Moura

CoRR, 2020

Safe Wasserstein Constrained Deep Q-Learning.

Aaron Kandel, Scott J. Moura

CoRR, 2020

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

Proceedings of the 2020 American Control Conference, 2020