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Muharrem Ugur Yavas
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Automated lane change decision making using deep reinforcement learning in dynamic and uncertain highway environment
A Alizadeh, M Moghadam, Y Bicer, NK Ure, U Yavas, C Kurtulus
2019 IEEE intelligent transportation systems conference (ITSC), 1399-1404, 2019
1012019
Enhancing situational awareness and performance of adaptive cruise control through model predictive control and deep reinforcement learning
NK Ure, MU Yavas, A Alizadeh, C Kurtulus
2019 IEEE Intelligent Vehicles Symposium (IV), 626-631, 2019
222019
A new approach for tactical decision making in lane changing: Sample efficient deep Q learning with a safety feedback reward
U Yavas, T Kumbasar, NK Ure
2020 IEEE Intelligent Vehicles Symposium (IV), 1156-1161, 2020
192020
Model-based reinforcement learning for advanced adaptive cruise control: A hybrid car following policy
U Yavas, T Kumbasar, NK Ure
2022 IEEE Intelligent Vehicles Symposium (IV), 1466-1472, 2022
82022
Toward learning human-like, safe and comfortable car-following policies with a novel deep reinforcement learning approach
MU Yavas, T Kumbasar, NK Ure
IEEE Access 11, 16843-16854, 2023
62023
Development of a stochastic traffic environment with generative time-series models for improving generalization capabilities of autonomous driving agents
A Ozturk, MB Gunel, M Dal, U Yavas, NK Ure
2020 IEEE Intelligent Vehicles Symposium (IV), 1343-1348, 2020
22020
Model predictive control of turbocharged diesel engine with exhaust gas recirculation
U Yavas, M Gokasan
World Academy of Science, Engineering and Technology, International Journal …, 2015
22015
System and method for using artificial intelligence to detect lithium plating
A Ozturk, MB Gunel, MU Yavas, C Kurtulus
US Patent 11,847,531, 2023
2023
System and method for using artificial intelligence to detect lithium plating
A Ozturk, MB Gunel, MU Yavas, C Kurtulus
US Patent 11,845,357, 2023
2023
A Real-World Reinforcement Learning Framework for Safe and Human-Like Tactical Decision-Making
MU Yavas, T Kumbasar, NK Ure
IEEE Transactions on Intelligent Transportation Systems, 2023
2023
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