A Markov chain Monte Carlo algorithm for Bayesian policy search

Autor: Vahid Tavakol Aghaei, Ahmet Onat, Sinan Yıldırım

Publikováno v: Systems Science & Control Engineering, Vol 6, Iss 1, Pp 438-455 (2018)

Policy search algorithms have facilitated application of Reinforcement Learning (RL) to dynamic systems, such as control of robots. Many policy search algorithms are based on the policy gradient, and thus may suffer from slow convergence or local opt

Externí odkaz: https://doaj.org/article/5efdf2ad806b43809482874306eb494c

Energy optimization of wind turbines via a neural control policy based on reinforcement learning Markov chain Monte Carlo algorithm

Autor: Vahid Tavakol Aghaei, Arda Ağababaoğlu, Biram Bawo, Peiman Naseradinmousavi, Sinan Yıldırım, Serhat Yeşilyurt, Ahmet Onat

Publikováno v: Applied Energy. 341:121108

This study focuses on the numerical analysis and optimal control of vertical-axis wind turbines (VAWT) using Bayesian reinforcement learning (RL). We specifically address small-scale wind turbines, which are well-suited to local and compact productio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9df0d01d71f7b9d0edb2bbdb9820ed9
https://doi.org/10.1016/j.apenergy.2023.121108

The Instrument Control Unit processing hardware and software of the Wide Field Monitor on eXTP

Autor: Emrah Kalemci, Onur Turhan, Irfan Kuvvetli, Stéphane Schanne, Margarita Hernanz, Piotr Orleanski, Chris Tenzer, Müberra Sungur, Ahmet Onat, Ayhan Bozkurt, Mehmet A. Baltaci, José-Luis . Galvez, Søren Brandt, Konrad R. Skup, Denis Tcherniak, Malgorzata Michalska

Publikováno v: Kalemci, E, Turhan, O, Kuvvetli, I, Schanne, S, Hernanz, M, Orlean´ski, P, Tenzer, C, Sungur, M, Onat, A, Bozkurt, A, Baltacı, M A, Gálvez, J L, Brandt, S, Skup, K, Tcherniak, D & Michalska, M 2022, The Instrument Control Unit processing hardware and software of the Wide Field Monitor on eXTP . in J-W A den Herder, S Nikzad & K Nakazawa (eds), Proceedings of SPIE : Space Telescopes and Instrumentation 2022: Ultraviolet to Gamma Ray ., 1218166, SPIE-International Society for Optical Engineering, Proceedings of SPIE-The International Society for Optical Engineering, vol. 12181, Space Telescopes and Instrumentation 2022: Ultraviolet to Gamma Ray, Montréal, Quebec, Canada, 17/07/2022 . https://doi.org/10.1117/12.2629264

The eXTP (enhanced X-ray Timing and Polarimetry) mission is a joint large mission of the Chinese Academy of Sciences (CAS) and European partners designed to study the state of matter under extreme conditions of density, gravity and magnetism. One of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdab34fe2263bf14bd56ef6618301367
https://orbit.dtu.dk/en/publications/0bcf21ea-08d9-4ab7-9966-2f26d3cddb8b

Hızlı Seri İndüksiyon ve Entübasyon Modelinde Farklı Ketamin Dozlarının Entübasyon Kalitesine Etkisi.

Autor: Meço, Başak Ceyda¹ basakceyda@hotmail.com, Bermede, Ahmet Onat¹, Alanoılu, Zekeriyya¹, Yaka, Olcay¹, Alkış, Neslihan¹

Publikováno v: Turkish Journal of Anesthesia & Reanimation. 1/1/16, Vol. 44 Issue 1, p26-31. 6p.

A real-world application of Markov chain Monte Carlo method for Bayesian trajectory control of a robotic manipulator

Autor: Arda Agababaoglu, Sinan Yildirim, Ahmet Onat, Vahid Tavakol Aghaei

Reinforcement learning methods are being applied to control problems in robotics domain. These algorithms are well suited for dealing with the continuous large scale state spaces in robotics field. Even though policy search methods related to stochas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b6feef4153ad2135761f0c67704b7c5