11 citations · 11 across the 4 of their papers we have counts for
5 papers
Safety-Constrained Optimal Control and Hamiltonian-Gradient Learning for Systems with Unknown Dynamics
Panagiotis Kounatidis, Andreas A. Malikopoulos
We present a framework for safety-constrained optimal control when the plant dynamics are unknown and only an approximate model is available. We apply Pontryagin's Minimum Principl…
Analyzing the Impact of Simulation Fidelity on the Evaluation of Autonomous Driving Motion Control
Simon Sagmeister, Panagiotis Kounatidis, Sven Goblirsch +1
Simulation is crucial in the development of autonomous driving software. In particular, assessing control algorithms requires an accurate vehicle dynamics simulation. However, rece…
Combined Learning and Control: A New Paradigm for Optimal Control with Unknown Dynamics
Panagiotis Kounatidis, Andreas A. Malikopoulos
In this paper, we present the combined learning-and-control (CLC) approach, which is a new way to solve optimal control problems with unknown dynamics by unifying model-based contr…
On the Robustness of Derivative-free Methods for Linear Quadratic Regulator
Weijian Li, Panagiotis Kounatidis, Zhong-Ping Jiang +1
Policy optimization has drawn increasing attention in reinforcement learning, particularly in the context of derivative-free methods for linear quadratic regulator (LQR) problems w…
Combining Graph Attention Networks and Distributed Optimization for Multi-Robot Mixed-Integer Convex Programming
Viet-Anh Le, Panagiotis Kounatidis, Andreas A. Malikopoulos
In this paper, we develop a fast mixed-integer convex programming (MICP) framework for multi-robot navigation by combining graph attention networks and distributed optimization. We…