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pro vyhledávání: '"Kermanshah, Mehdi"'
Autor:
Ahmad, Ahmad, Kermanshah, Mehdi, Leahy, Kevin, Serlin, Zachary, Siu, Ho Chit, Mann, Makai, Vasile, Cristian-Ioan, Tron, Roberto, Belta, Calin
In this paper, we tackle the challenging problem of delayed rewards in reinforcement learning (RL). While Proximal Policy Optimization (PPO) has emerged as a leading Policy Gradient method, its performance can degrade under delayed rewards. We introd
Externí odkaz:
http://arxiv.org/abs/2411.17861
Autor:
Kermanshah, Mehdi, Beaver, Logan E., Sokolich, Max, Kirmizitas, Fatma Ceren, Das, Sambeeta, Tron, Roberto, Weiss, Ron, Belta, Calin
This paper presents a control framework for magnetically actuated cellbots, which combines Model Predictive Control (MPC) with Gaussian Processes (GPs) as a disturbance estimator for precise trajectory tracking. To address the challenges posed by unm
Externí odkaz:
http://arxiv.org/abs/2406.02722
We consider the problem of designing output feedback controllers that use measurements from a set of landmarks to navigate through a cell-decomposable environment using duality, Control Lyapunov and Barrier Functions (CLF, CBF), and Linear Programmin
Externí odkaz:
http://arxiv.org/abs/2403.14519
We propose an approach to synthesize linear feedback controllers for linear systems in polygonal environments. Our method focuses on designing a robust controller that can account for uncertainty in measurements. Its inputs are provided by a percepti
Externí odkaz:
http://arxiv.org/abs/2310.08413
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