5 citations · 6 across the 5 of their papers we have counts for
5 papers
Distributionally Robust Surrogate Optimal Control for High-Dimensional Systems
Aaron Kandel, Saehong Park, Scott Moura
This paper presents a novel methodology for tractably solving optimal control and offline reinforcement learning problems for high-dimensional systems. This work is motivated by th…
Fuel and Time Optimal USV Trajectory Planning under Flexible Refueling Constraints
Aaron Kandel, Chu Xu, David Cardona +1
This paper addresses the problem of trajectory optimization for an unmanned surface vehicle while considering direction-dependent ocean currents and flexible refueling constraints.…
Fisher Identifiability Analysis of Longitudinal Vehicle Dynamics
Aaron Kandel, Mohamed Wahba, Hosam K. Fathy
This paper investigates the theoretical Cramer-Rao bounds on estimation accuracy of longitudinal vehicle dynamics parameters. This analysis is motivated by the value of parameter e…
Safe Learning MPC with Limited Model Knowledge and Data
Aaron Kandel, Scott J. Moura
This paper presents an end-to-end framework for safe learning-based control (LbC) using nonlinear stochastic MPC and distributionally robust optimization (DRO). This work is motiva…
Safe Wasserstein Constrained Deep Q-Learning
Aaron Kandel, Scott J. Moura
This paper presents a distributionally robust Q-Learning algorithm (DrQ) which leverages Wasserstein ambiguity sets to provide idealistic probabilistic out-of-sample safety guarant…