Aaron Kandel

11 papers A 1B 1C 1Journal 8
YearRankTypeTitle / Venue / Authors
2025 A conf
Reinforcement Learning-based Approach for Vehicle-to-Building Charging with Heterogeneous Agents and Long Term Rewards.
AAMAS
Fangqi Liu, Rishav Sen, Jose Paolo Talusan, Ava Pettet, Aaron Kandel, Yoshinori Suzue, Ayan Mukhopadhyay, Abhishek Dubey
2025 J jnl
Reinforcement Learning-based Approach for Vehicle-to-Building Charging with Heterogeneous Agents and Long Term Rewards.
CoRR
Fangqi Liu, Rishav Sen, Jose Paolo Talusan, Ava Pettet, Aaron Kandel, Yoshinori Suzue, Ayan Mukhopadhyay, Abhishek Dubey
2024 B conf
OPTIMUS: Discrete Event Simulator for Vehicle-to-Building Charging Optimization.
SMARTCOMP
Jose Paolo Talusan, Rishav Sen, Ava Pettet, Aaron Kandel, Yoshinori Suzue, Liam Pedersen, Ayan Mukhopadhyay, Abhishek Dubey
2024 J jnl
Safe Learning MPC With Limited Model Knowledge and Data.
IEEE Trans. Control. Syst. Technol.
Aaron Kandel, Scott J. Moura
2023 J jnl
Distributionally Robust Surrogate Optimal Control for High-Dimensional Systems.
IEEE Trans. Control. Syst. Technol.
Aaron Kandel, Saehong Park, Scott J. Moura
2021 J jnl
Distributionally Robust Surrogate Optimal Control for High-Dimensional Systems.
CoRR
Aaron Kandel, Saehong Park, Scott J. Moura
2020 C conf
Distributionally Robust Surrogate Optimal Control for Large-Scale Dynamical Systems.
ACC
Aaron Kandel, Saehong Park, Hector Eduardo Perez, Geumbee Kim, Yohwan Choi, Hyoung Jun Ahn, Won Tae Joe, Scott J. Moura
2020 J jnl
Fisher Identifiability Analysis of Longitudinal Vehicle Dynamics: Theory and Experiments.
CoRR
Aaron Kandel, Mohamed Wahba, Hosam K. Fathy
2020 J jnl
Fuel and Time Optimal USV Trajectory Planning under Flexible Refueling Constraints.
CoRR
Aaron Kandel, Chu Xu, David Cardona, Carey Whitehair
2020 J jnl
Safe Wasserstein Constrained Deep Q-Learning.
CoRR
Aaron Kandel, Scott J. Moura
2020 J jnl
Safe Zero-Shot Model-Based Learning and Control: A Wasserstein Distributionally Robust Approach.
CoRR
Aaron Kandel, Scott J. Moura