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Toplam 49 adet sonuçtan 20 tanesi görüntülenmektedir.

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Tuning Scaling Factors of Fuzzy Logic Controllers via Reinforcement Learning Policy Gradient Algorithms
Proceedings of the 3rd International Conference on Mechatronics and Robotics Engineering - ICMRE 2017, Ocak 2017, ISSN: 978-145035280-2
TAVAKOL AGHAEI VAHID, ONAT AHMET
Ahmet Onat Özgün Makale
Order dispatching for an ultra-fast delivery service via deep reinforcement learning
Applied Intelligence, Ocak 2021, ISSN: 0924-669X
KAVUK ERAY MERT, TOSUN AYŞE, ÇEVİK MÜCAHİT, BOZANTA AYSUN, SONUÇ SİBEL BİLGE, TÜTÜNCÜ MEHMETCAN, KOŞUCU BİLGİN, BENER AYŞE
Ayşe Tosun Kühn Özgün Makale
GAN-based Intrinsic Exploration for Sample Efficient Reinforcement Learning
14th International Conference on Agents and Artificial Intelligence, Vol. 2, 2 Şubat 2022
KAMAR DOĞAY, ÜRE NAZIM KEMAL, ÜNAL GÖZDE
Gözde Ünal Tam metin bildiri
Tuning Scaling Factors of Fuzzy Logic Controllers via Reinforcement Learning Policy Gradient Algorithms
ICMRE 2017 Proceedings of the 3rd International Conference on Mechatronics and Robotics Engineering, Paris, France, Paris/FRANSA, 8 Şubat 2017
TAVAKOL AGHAEI VAHID,ONAT AHMET
Ahmet Onat Tam metin bildiri
Reward related prospective and retrospective spiking activity in hippocampal neurons during reinforcement learning
Program No. 101.16. 2009 Neuroscience Meeting Planner. Chicago, IL: Society for Neuroscience, 2009. Çevrimiçi., No. 1, 1 Eylül 2009, s. 1
OKATAN MURAT,OWENS CULLEN,EİCHENBAUM HOWARD
A novel state space representation for the solution of 2D HP protein folding problem using reinforcement learning methods
Applied Soft Computing, Vol. 26, Ocak 2015, s. 213-223, ISSN: 15684946
DOĞAN BERAT,ÖLMEZ TAMER
Tamer Ölmez Özgün Makale
Efficient MRI Reconstruction with Reinforcement Learning for Automatic Acquisition Stopping
13th Workshop on Statistical Atlases and Computational Modelling of the Heart, Singapur/SİNGAPUR, 18 Eylül 2022
XU RURU, ÖKSÜZ İLKAY
İlkay Öksüz Tam metin bildiri
Enhancing Situational Awareness and Performance of Adaptive Cruise Control through Model Predictive Control and Deep Reinforcement Learning
2019 IEEE Intelligent Vehicles Symposium (IV), 9 Haziran 2019
ÜRE NAZIM KEMAL,YAVAŞ MUHARREM UĞUR,ALİZADEH ALİ,KURTULUŞ CAN
Nazım Kemal Üre Tam metin bildiri
Bayesian reinforcement learning with MCMC to maximize energy output in hardware-in-the-loop simulations of vertical axis wind turbine
Mühendislik ve Fen Bilimleri Enstitüsü, Sabancı Üniversitesi, 2021
USAMAH YAASEEN OSMAN
Ahmet Onat Tez Yüksek Lisans Tamamlandı

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