Zobrazeno 1 - 10
of 2 979
pro vyhledávání: '"Pajić A"'
In human-centric tasks such as healthcare and education, the heterogeneity among patients and students necessitates personalized treatments and instructional interventions. While reinforcement learning (RL) has been utilized in those tasks, off-polic
Externí odkaz:
http://arxiv.org/abs/2410.20017
This work focuses on analyzing the vulnerability of unmanned aerial vehicles (UAVs) to stealthy black-box false data injection attacks on GPS measurements. We assume that the quadcopter is equipped with IMU and GPS sensors, and an arbitrary sensor fu
Externí odkaz:
http://arxiv.org/abs/2409.11405
We present the first study on provably efficient randomized exploration in cooperative multi-agent reinforcement learning (MARL). We propose a unified algorithm framework for randomized exploration in parallel Markov Decision Processes (MDPs), and tw
Externí odkaz:
http://arxiv.org/abs/2404.10728
Surrogate rewards for linear temporal logic (LTL) objectives are commonly utilized in planning problems for LTL objectives. In a widely-adopted surrogate reward approach, two discount factors are used to ensure that the expected return approximates t
Externí odkaz:
http://arxiv.org/abs/2404.05074
Multi-agent, collaborative sensor fusion is a vital component of a multi-national intelligence toolkit. In safety-critical and/or contested environments, adversaries may infiltrate and compromise a number of agents. We analyze state of the art multi-
Externí odkaz:
http://arxiv.org/abs/2403.16956
Deep Brain Stimulation (DBS) stands as an effective intervention for alleviating the motor symptoms of Parkinson's disease (PD). Traditional commercial DBS devices are only able to deliver fixed-frequency periodic pulses to the basal ganglia (BG) reg
Externí odkaz:
http://arxiv.org/abs/2403.06814
Autor:
Hunt, David, Luo, Shaocheng, Khazraei, Amir, Zhang, Xiao, Hallyburton, Spencer, Chen, Tingjun, Pajic, Miroslav
In this work, we present RadCloud, a novel real time framework for directly obtaining higher-resolution lidar-like 2D point clouds from low-resolution radar frames on resource-constrained platforms commonly used in unmanned aerial and ground vehicles
Externí odkaz:
http://arxiv.org/abs/2403.05964
Performance of ordinary least squares(OLS) method for the \emph{estimation of high dimensional stable state transition matrix} $A$(i.e., spectral radius $\rho(A)<1$) from a single noisy observed trajectory of the linear time invariant(LTI)\footnote{L
Externí odkaz:
http://arxiv.org/abs/2312.05794
Recent advancements in assured autonomy have brought autonomous vehicles (AVs) closer to fruition. Despite strong evidence that multi-sensor, multi-agent (MSMA) systems can yield substantial improvements in the safety and security of AVs, there exist
Externí odkaz:
http://arxiv.org/abs/2312.04970
Autor:
Song Meijing, Andrejić Milan, Pajić Vukašin, Chatterjee Prasenjit, Ma’arof Muhammad Izzat Nor
Publikováno v:
Demonstratio Mathematica, Vol 57, Iss 1, Pp 1571-3933 (2024)
In a dynamic market marked by disruptions like pandemics and recessions, organizations face significant challenges in efficiently managing logistics processes and activities. The primary objective of this article is to propose an integrated four-phas
Externí odkaz:
https://doaj.org/article/a274310ddf3c4f6da6eb4392375d40d4