Zobrazeno 1 - 10
of 1 281
pro vyhledávání: '"Gürdal, P"'
Autor:
Arslan, Gürdal, Yüksel, Serdar
We consider a stochastic dynamic game where players have their own linear state dynamics and quadratic cost functions. Players are coupled through some environment variables, generated by another linear system driven by the states and decisions of al
Externí odkaz:
http://arxiv.org/abs/2404.10920
Weakly acyclic games generalize potential games and are fundamental to the study of game theoretic control. In this paper, we present a generalization of weakly acyclic games, and we observe its importance in multi-agent learning when agents employ e
Externí odkaz:
http://arxiv.org/abs/2403.18086
In multi-agent reinforcement learning (MARL) and game theory, agents repeatedly interact and revise their strategies as new data arrives, producing a sequence of strategy profiles. This paper studies sequences of strategies satisfying a pairwise cons
Externí odkaz:
http://arxiv.org/abs/2403.18079
Autor:
Mehmet Gürdal, Vuk N. Stojiljković
Publikováno v:
Vojnotehnički Glasnik, Vol 72, Iss 4, Pp 1537-1551 (2024)
Introduction/purpose: In this article, the author’s goal is to seek to obtain new inequalities of the Berezin type. Methods: The methods used are standard for operator theory. Results: Various inequalities of the type given by Huban et al. and E
Externí odkaz:
https://doaj.org/article/57ecf65d64c2404c8be64304dbf81e33
Non-stationarity is a fundamental challenge in multi-agent reinforcement learning (MARL), where agents update their behaviour as they learn. Many theoretical advances in MARL avoid the challenge of non-stationarity by coordinating the policy updates
Externí odkaz:
http://arxiv.org/abs/2308.03239
Publikováno v:
Cephalalgia Reports, Vol 7 (2024)
Background There is a growing awareness of constipation being a side effect of anti-calcitonin gene-related peptide (anti-CGRP) monoclonal antibodies (mAbs). This study aims to assess constipation as a side effect and explore its potential role as a
Externí odkaz:
https://doaj.org/article/616079f3cc784d17a17d5b15e375c274
Autor:
Tülin YILDIZ, Arzu MALAK, Dilek ERDEN, Çağla AVCU, Ebru ÖNLER, Yasin DURAN, Ufuk COŞKUNKAN, Sibel ÖZKAN GÜRDAL
Publikováno v:
Namık Kemal Tıp Dergisi, Vol 12, Iss 2, Pp 93-99 (2024)
Aim: This study was conducted to evaluate the Turkish validity and reliability of the Caregiver Contribution to Self-care in Ostomy Patient Index, to evaluate the relatives of patients with stoma who contributed to their self-care in Turkish society,
Externí odkaz:
https://doaj.org/article/61fa71e2f2914a889b227e888eb04f6d
Autor:
Vuk Stojiljković, Mehmet Gürdal
Publikováno v:
Electronic Journal of Mathematics, Vol 7, Pp 35-44 (2024)
Externí odkaz:
https://doaj.org/article/a336aaf174c34f7ab13fbedf01fe8fb7
Independent Learning in Mean-Field Games: Satisficing Paths and Convergence to Subjective Equilibria
Independent learners are agents that employ single-agent algorithms in multi-agent systems, intentionally ignoring the effect of other strategic agents. This paper studies mean-field games from a decentralized learning perspective, with two primary o
Externí odkaz:
http://arxiv.org/abs/2209.05703
Publikováno v:
SIAM Journal on Mathematics of Data Science, vol 5, no. 3, pp. 745-773, Aug 2023
In multi-agent reinforcement learning (MARL), independent learners are those that do not observe the actions of other agents in the system. Due to the decentralization of information, it is challenging to design independent learners that drive play t
Externí odkaz:
http://arxiv.org/abs/2110.04638