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pro vyhledávání: '"Vivek, S"'
In the context of model-based control of industrial processes, it is a common practice to develop a data-driven linear dynamical model around a specified operating point. However, in applications involving wider operating conditions, representation o
Externí odkaz:
http://arxiv.org/abs/2406.03752
We address the problem of user association in a dense millimeter wave (mmWave) network, in which each arriving user brings a file containing a random number of packets and each time slot is divided into multiple mini-slots. This problem is an instanc
Externí odkaz:
http://arxiv.org/abs/2403.09279
Autor:
Chandak, Siddharth, Borkar, Vivek S.
We derive a concentration bound of the type `for all $n \geq n_0$ for some $n_0$' for TD(0) with linear function approximation. We work with online TD learning with samples from a single sample path of the underlying Markov chain. This makes our anal
Externí odkaz:
http://arxiv.org/abs/2312.10424
Autor:
Borkar, Vivek S., Akarsh, Adit
Oberman gave a stochastic control formulation of the problem of estimating the convex envelope of a non-convex function. Based on this, we develop a reinforcement learning scheme to approximate the convex envelope, using a variant of Q-learning for c
Externí odkaz:
http://arxiv.org/abs/2311.14421
Autor:
Keval, Keshav P., Borkar, Vivek S.
In this paper, we propose a reinforcement learning algorithm to solve a multi-agent Markov decision process (MMDP). The goal, inspired by Blackwell's Approachability Theorem, is to lower the time average cost of each agent to below a pre-specified ag
Externí odkaz:
http://arxiv.org/abs/2311.12613
The Internet of Things (IoT) is emerging as a critical technology to connect resource-constrained devices such as sensors and actuators as well as appliances to the Internet. In this paper, we propose a novel methodology for node cardinality estimati
Externí odkaz:
http://arxiv.org/abs/2310.18664
In this article we prove under suitable assumptions that the marginals of any solution to a relaxed controlled martingale problem on a Polish space $E$ can be mimicked by a Markovian solution of a Markov-relaxed controlled martingale problem. We also
Externí odkaz:
http://arxiv.org/abs/2309.00488
Autor:
Mathew Thakur, Vivek S. Tomar, Emma Dale, Leonard G. Gomella, Charalambos Solomides, Oleksandr Kolesnikov, Scott W. Keith, Hector T. Navarro, Olivia Dahlgren, Michael Chaga, Edouard J. Trabulsi
Publikováno v:
BJUI Compass, Vol 5, Iss 7, Pp 675-680 (2024)
Abstract Objectives The objective of this study is to validate a hypothesis that a non‐invasive optical imaging assay targeting genomic VPAC receptors on malignant cells shed in voided urine will represent either benign prostatic hyperplasia (BPH)
Externí odkaz:
https://doaj.org/article/eba6f254466f4e338bfd77aa902133bd