Data efficient offline reinforcement learning & reinforcement learning with imitation learning applications to autonomous driving and robotics
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023
FEYZA NUR EKSEN
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Reinforcement learning-based demand-side management by smart charging of electric vehicles
ELECTRICAL ENGINEERING, Vol. 104, No. 6, Aralık 2022, s. 3933-3942, ISSN: 0948-7921
OZCELİK MELİK BUGRA, KESİCİ MERT, AKSOY NECATİ, GENÇ VEYSEL MURAT İSTEMİHAN
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Intelligent Systems Utilization in Recommender Systems: A Reinforcement Learning Approach
Intelligent Systems Utilization in Recommender Systems: A Reinforcement Learning Approach, İZMİR/TÜRKİYE, 15 Haziran 2022, s. 124-129, ISSN: 2367-3370
YAZICI İBRAHİM, ARI EMRE
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Deep Reinforcement Learning-based Cooperative Survivability Maximization for a UAV Fleet on an Air-to-Ground Mission
Havacılık ve Uzay Teknolojileri Dergisi, Vol. 15, No. 2, Temmuz 2022, ISSN: 1304-0448
BAŞPINAR BARIŞ
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Energy-aware mobility for aerial networks: A reinforcement learning approach
INTERNATIONAL JOURNAL OF NETWORK MANAGEMENT, Vol. 32, No. 1, Ocak 2022, ISSN: 1055-7148
BOZKAYA ELİF, ÖZÇEVİK YUSUF, AKKOÇ MERTKAN, EROL MUHAMMED RAŞİT, CANBERK BERK
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Scalable planning and learning framework development for swarm-to-swarm engagement problems with reinforcement learning
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2022
UMUT DEMİR
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Core Skill Decomposition of Complex Wargames with Reinforcement Learning
AIAA SCITECH Forum, 10 Ocak 2022
KÖMÜRCÜ KUBİLAY KAĞAN, İNCE BATUHAN, OK TOLGA, KILIÇKAYA EMİRAN, ÜRE NAZIM KEMAL
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Equity Portfolio Optimization Using Reinforcement Learning: Emerging Market Case
INFUS 2022, 19 Temmuz 2022
CANDAR MERT, ÜSTÜNDAĞ ALP
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Guided Soft Actor Critic: A Guided Deep Reinforcement Learning Approach for Partially Observable Markov Decision Processes
IEEE Access, Vol. 9, Aralık 2021, ISSN: 2169-3536
HAKLIDIR MEHMET, TEMELTAŞ HAKAN
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Survivability Based Optimal Air Combat Mission Planning with Reinforcement Learning
2018 IEEE Conference on Control Technology and Applications (CCTA), Copenhagen/DANİMARKA, 21 Ağustos 2018
BAŞPINAR BARIŞ,KOYUNCU EMRE
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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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Motion Planning and Control with Randomized Payloads Using Deep Reinforcement Learning
2019 Third IEEE International Conference on Robotic Computing (IRC), 25 Şubat 2019
DEMİR ALİ,SEZER VOLKAN
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Intersection Navigation Under Dynamic Constraints Using Deep Reinforcement Learning
6th International Conference on Control Engineering Information Technology, 25 Ekim 2018
DEMİR ALİ,SEZER VOLKAN
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A Neurocomputational Model of Nicotine Addiction Based on Reinforcement Learning
ICANN, 15 Eylül 2010
METİN SELİN,ŞENGÖR NESLİHAN SERAP
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Survivability Based Optimal Air Combat Mission Planning with Reinforcement Learning
2018 IEEE Conference on Control Technology and Applications (CCTA), Copenhagen/DANİMARKA, 21 Ağustos 2018
BAŞPINAR BARIŞ,KOYUNCU EMRE
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A Dynamically Feasible Fast Replanning Strategy with Deep Reinforcement Learning
Journal of Intelligent & Robotic Systems, Vol. 101, No. 1, Ocak 2021, ISSN: 0921-0296
HASANZADE MEHMET, KOYUNCU EMRE
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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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DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous Driving
International Conference on Intelligent Transportation Systems, 8 Ekim 2022
DAGDANOV RESUL, EKSEM FEYZA, DURMUŞ HALİL, YURDAKUL FERHAT, ÜRE NAZIM KEMAL
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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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Toward Learning Human-Like, Safe and Comfortable Car-Following Policies With a Novel Deep Reinforcement Learning Approach
IEEE Access, Vol. 11, Ocak 2023, ISSN: 2169-3536
YAVAŞ MUHARREM UĞUR, KUMBASAR TUFAN, ÜRE NAZIM KEMAL
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