Zobrazeno 1 - 10
of 565
pro vyhledávání: '"Abhishek, N."'
Games with incomplete preferences are an important model for studying rational decision-making in scenarios where players face incomplete information about their preferences and must contend with incomparable outcomes. We study the problem of computi
Externí odkaz:
http://arxiv.org/abs/2408.02860
Deception plays a crucial role in strategic interactions with incomplete information. Motivated by security applications, we study a class of two-player turn-based deterministic games with one-sided incomplete information, in which player 1 (P1) aims
Externí odkaz:
http://arxiv.org/abs/2407.14436
Human preferences are not always represented via complete linear orders: It is natural to employ partially-ordered preferences for expressing incomparable outcomes. In this work, we consider decision-making and probabilistic planning in stochastic sy
Externí odkaz:
http://arxiv.org/abs/2403.18212
Publikováno v:
International Journal of Educational Management, 2024, Vol. 38, Issue 5, pp. 1391-1423.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJEM-03-2024-0166
Speech Emotion Recognition (SER) is the task of identifying the emotion expressed in a spoken utterance. Emotion recognition is essential in building robust conversational agents in domains such as law, healthcare, education, and customer support. Mo
Externí odkaz:
http://arxiv.org/abs/2308.03150
This paper studies a language-based opacity enforcement in a two-player, zero-sum game on a graph. In this game, player 1 (P1) wins if it can achieve a secret temporal goal described by the language of a finite automaton, no matter what strategy the
Externí odkaz:
http://arxiv.org/abs/2304.01286
Autor:
Kulkarni, Abhishek N., Fu, Jie
Preferences play a key role in determining what goals/constraints to satisfy when not all constraints can be satisfied simultaneously. In this paper, we study how to synthesize preference satisfying plans in stochastic systems, modeled as an MDP, giv
Externí odkaz:
http://arxiv.org/abs/2210.01878
In this paper, we study planning in stochastic systems, modeled as Markov decision processes (MDPs), with preferences over temporally extended goals. Prior work on temporal planning with preferences assumes that the user preferences form a total orde
Externí odkaz:
http://arxiv.org/abs/2209.12267
Autor:
Abhishek N, Habeeb Ur Rahiman, Neethu Suraj, Abhinandan Kulal, Ashoka M L, M. S. Divyashree, Swapna Raghupathi
Publikováno v:
Cogent Economics & Finance, Vol 12, Iss 1 (2024)
AbstractCorporate efforts in eradicating environmental negativities are a significant aspect that is playing a vital role to contribute sustainable development. Renewable energy initiatives by corporations are also a trending effort through which the
Externí odkaz:
https://doaj.org/article/1517388e232e47b794de03925b4a7ef1
Autor:
Courtney Woolsey, Robert W. Cross, Abhishek N. Prasad, Krystle N. Agans, Viktoriya Borisevich, Daniel J. Deer, Natalie S. Dobias, Alyssa C. Fears, Mack B. Harrison, Megan L. Heinrich, Karla A. Fenton, Robert F. Garry, Luis M. Branco, Thomas W. Geisbert
Publikováno v:
Emerging Microbes and Infections, Vol 13, Iss 1 (2024)
ABSTRACTLassa virus (LASV) is a World Health Organization (WHO) priority pathogen that causes high morbidity and mortality. Recently, we showed that a combination of three broadly neutralizing human monoclonal antibodies known as Arevirumab-3 (8.9F,
Externí odkaz:
https://doaj.org/article/055f26a5860147ff8cc66a9db9b3c6b4