Zobrazeno 1 - 10
of 20
pro vyhledávání: '"J, Prabuchandran. K."'
In this paper, we consider the problem of finding an optimal energy management policy for a network of sensor nodes capable of harvesting their own energy and sharing it with other nodes in the network. We formulate this problem in the discounted cos
Externí odkaz:
http://arxiv.org/abs/2310.05911
First Order Bayesian Optimization (FOBO) is a sample efficient sequential approach to find the global maxima of an expensive-to-evaluate black-box objective function by suitably querying for the function and its gradient evaluations. Such methods ass
Externí odkaz:
http://arxiv.org/abs/2306.10815
Bayesian Optimization (BO) is used to find the global optima of black box functions. In this work, we propose a practical BO method of function compositions where the form of the composition is known but the constituent functions are expensive to eva
Externí odkaz:
http://arxiv.org/abs/2303.11954
Learning optimal behavior from existing data is one of the most important problems in Reinforcement Learning (RL). This is known as "off-policy control" in RL where an agent's objective is to compute an optimal policy based on the data obtained from
Externí odkaz:
http://arxiv.org/abs/2110.10017
Publikováno v:
Applied Intelligence 2020
Reinforcement learning (RL) methods learn optimal decisions in the presence of a stationary environment. However, the stationary assumption on the environment is very restrictive. In many real world problems like traffic signal control, robotic appli
Externí odkaz:
http://arxiv.org/abs/1905.03970
In cooperative stochastic games multiple agents work towards learning joint optimal actions in an unknown environment to achieve a common goal. In many real-world applications, however, constraints are often imposed on the actions that can be jointly
Externí odkaz:
http://arxiv.org/abs/1905.02907
Autor:
Kamanchi, Chandramouli, Diddigi, Raghuram Bharadwaj, J., Prabuchandran K., Bhatnagar, Shalabh
Publikováno v:
IEEE Control Systems Letters 2019
One of the popular measures of central tendency that provides better representation and interesting insights of the data compared to the other measures like mean and median is the metric mode. If the analytical form of the density function is known,
Externí odkaz:
http://arxiv.org/abs/1902.03806
Change point detection algorithms have numerous applications in fields of scientific and economic importance. We consider the problem of change point detection on compositional multivariate data (each sample is a probability mass function), which is
Externí odkaz:
http://arxiv.org/abs/1901.04935
We consider the problem of tracking an intruder using a network of wireless sensors. For tracking the intruder at each instant, the optimal number and the right configuration of sensors has to be powered. As powering the sensors consumes energy, ther
Externí odkaz:
http://arxiv.org/abs/1708.08113
Publikováno v:
IEEE Transactions on Network Science and Engineering, vol. 3, no. 4, pp. 197-210 (2016)
The problem of maximizing information diffusion, given a certain budget expressed in terms of the number of seed nodes, is an important topic in social networks research. Existing literature focuses on single phase diffusion where all seed nodes are
Externí odkaz:
http://arxiv.org/abs/1706.07739