Deep Reinforcement Learning based Aggressive Flight Trajectory Tracker
AIAA Scitech 2021 Forum, 11 Ocak 2021
SHADEED OMAR, HASANZADE MEHMET, KOYUNCU EMRE
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Finding Feasible Routes with Reinforcement Learning Using Macro-Level Traffic Measurements
12th International Conference on Geographic Information Science, 12 Eylül 2023
ÖZKAN MUSTAFA CAN,CHENG TAO
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A real-world application of Markov chain Monte Carlo method for Bayesian trajectory control of a robotic manipulator
ISA TRANSACTIONS, Vol. 125, Ocak 2022, s. 580-590, ISSN: 0019-0578
TAVAKOL AGHAEI VAHID, AĞABABAOĞLU ARDA, YILDIRIM SİNAN, ONAT AHMET
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Bayesian Learning for Policy Search in Trajectory Control of a Planar Manipulator
2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas/AMERİKA BİRLEŞİK DEVLETLERİ, 7 Ocak 2019
TAVAKOL AGHAEI VAHID, AĞABABAOĞLU ARDA, ONAT AHMET, YILDIRIM SİNAN
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Design of Graphical User Interface for Artificial Intelligence-Based Energy Management System for Microgrids
ELECTRICA, Vol. 23, No. 2, Ocak 2023, s. 10, ISSN: 2619-9831
AKSOY NECATİ, GENÇ VEYSEL MURAT İSTEMİHAN
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AirWave: Enhancing UAV Connectivity in Cellular Networks through an Integrated Simulation Framework
2024 IEEE International Conference on Big Data & Machine Learning (ICBDML), Bhopal/HİNDİSTAN, 24 Şubat 2024, s. 295-302
ZOR EMİRHAN,TASKİRAN YUSUF,DAEL FARES ABDULHAFIDH DERHEM,SHAYEA IBRAHEEM ABDULLAH MOHAMMED,RZAYEVA LEİLA,SYZDYKOVA ZULEİKHA
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Toward Learning Human-Like, Safe and Comfortable Car-Following Policies With a Novel Deep Reinforcement Learning Approach
Institute of Electrical and Electronics Engineers (IEEE), Vol. 11, Ocak 2023, ISSN: 2169-3536
YAVAŞ MUHARREM UGUR, KUMBASAR TUFAN, ÜRE NAZIM KEMAL
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Improving sample efficiency in reinforcement learning control using autoencoders
FEN BİLİMLERİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2023
BURAK ER
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Bayesian reinforcement learning with MCMC to maximize energy output of vertical axis wind turbine
MÜHENDİSLİK VE FEN BİLİMLERİ ENSTİTÜSÜ, SABANCI ÜNİVERSİTESİ, 2019
ARDA AĞABABAOĞLU
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Order dispatching via deep reinforcement learning
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2022
ERAY MERT KAVUK
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A generalized deep reinforcement learning based controller for heading keeping in waves
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2022
AFŞİN BARAN BAYEZİT
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Deep reinforcement learning for partially observable markov decision processes
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2022
MEHMET HAKLIDIR
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Equity portfolio optimization using reinforcement learning: An emerging market case
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2022
MERT CANDAR
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Autonomous heading control of a fixed-wing aircraft with deep reinforcement learning
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2022
FATİH AHMET SARIGÜL
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Motion planning and control with randomized payloads using deep reinforcement learning
FEN BİLİMLERİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2019
ALİ DEMİR
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Reinforcement learning in fighting games
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2022
MUHAMMET SADIK UĞURSOY
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GAN-based intrinsic exploration for sample efficient reinforcement learning
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2022
DOĞAY KAMAR
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Trajectory tracking control of a quadrotor with reinforcement learning
FEN BİLİMLERİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2023
EREN ÇAKMAK
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Resource allocation in vehicular edge computing networksbased on deep reinforcement learning
BİLİŞİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2021
HOMA MALEKI
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Reduced-complexity reinforcement learning-based polar code construction
FEN BİLİMLERİ ENSTİTÜSÜ, BOĞAZİÇİ ÜNİVERSİTESİ, 2022
EZGİ ORAL
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