Zobrazeno 1 - 10
of 2 536
pro vyhledávání: '"O'Connell, Michael"'
Autor:
O'Connell, Michael J.
Predicting batting averages for specific batters against specific pitchers is a challenging problem in baseball. Previous methods for estimating batting averages in these matchups have used regression models that can incorporate the pitcher's and bat
Externí odkaz:
http://arxiv.org/abs/2402.01914
We study how to design learning-based adaptive controllers that enable fast and accurate online adaptation in changing environments. In these settings, learning is typically done during an initial (offline) design phase, where the vehicle is exposed
Externí odkaz:
http://arxiv.org/abs/2311.12367
Autor:
O'Connell, Michael Thomas
This thesis addresses the general problem of improving control, safety, and reliability of multi-rotor drones in various challenging conditions by introducing novel deep-learning-based approaches. These approaches are designed to tackle specific issu
Autor:
O'Connell, Michael
Publikováno v:
Journal of Economic Studies, 2024, Vol. 51, Issue 5, pp. 1077-1092.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JES-07-2023-0379
Autor:
O'Connell, Michael, Shi, Guanya, Shi, Xichen, Azizzadenesheli, Kamyar, Anandkumar, Anima, Yue, Yisong, Chung, Soon-Jo
Executing safe and precise flight maneuvers in dynamic high-speed winds is important for the ongoing commoditization of uninhabited aerial vehicles (UAVs). However, because the relationship between various wind conditions and its effect on aircraft m
Externí odkaz:
http://arxiv.org/abs/2205.06908
We present an online multi-task learning approach for adaptive nonlinear control, which we call Online Meta-Adaptive Control (OMAC). The goal is to control a nonlinear system subject to adversarial disturbance and unknown $\textit{environment-depende
Externí odkaz:
http://arxiv.org/abs/2106.06098