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Muharrem Ugur Yavas
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Journal Articles
- 2023
- [j2]Muharrem Ugur Yavas, Tufan Kumbasar, Nazim Kemal Ure:
Toward Learning Human-Like, Safe and Comfortable Car-Following Policies With a Novel Deep Reinforcement Learning Approach. IEEE Access 11: 16843-16854 (2023) - [j1]Muharrem Ugur Yavas, Tufan Kumbasar, Nazim Kemal Ure:
A Real-World Reinforcement Learning Framework for Safe and Human-Like Tactical Decision-Making. IEEE Trans. Intell. Transp. Syst. 24(11): 11773-11784 (2023)
Conference and Workshop Papers
- 2022
- [c5]Muharrem Ugur Yavas, Tufan Kumbasar, Nazim Kemal Ure:
Model-Based Reinforcement Learning for Advanced Adaptive Cruise Control: A Hybrid Car Following Policy. IV 2022: 1466-1472 - 2020
- [c4]Muharrem Ugur Yavas, Tufan Kumbasar, Nazim Kemal Ure:
A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward. IV 2020: 1156-1161 - [c3]Anil Öztürk, Mustafa Burak Gunel, Melih Dal, Muharrem Ugur Yavas, Nazim Kemal Ure:
Development of A Stochastic Traffic Environment with Generative Time-Series Models for Improving Generalization Capabilities of Autonomous Driving Agents. IV 2020: 1343-1348 - 2019
- [c2]Ali Alizadeh, Majid Moghadam, Yunus Bicer, Nazim Kemal Ure, Muharrem Ugur Yavas, Can Kurtulus:
Automated Lane Change Decision Making using Deep Reinforcement Learning in Dynamic and Uncertain Highway Environment. ITSC 2019: 1399-1404 - [c1]N. Kemal Ure, Muharrem Ugur Yavas, Ali Alizadeh, Can Kurtulus:
Enhancing Situational Awareness and Performance of Adaptive Cruise Control through Model Predictive Control and Deep Reinforcement Learning. IV 2019: 626-631
Informal and Other Publications
- 2020
- [i3]Anil Öztürk, Mustafa Burak Gunel, Melih Dal, Muharrem Ugur Yavas, Nazim Kemal Ure:
Development of A Stochastic Traffic Environment with Generative Time-Series Models for Improving Generalization Capabilities of Autonomous Driving Agents. CoRR abs/2006.05821 (2020) - [i2]Muharrem Ugur Yavas, N. Kemal Ure, Tufan Kumbasar:
A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward. CoRR abs/2009.11905 (2020) - 2019
- [i1]Ali Alizadeh, Majid Moghadam, Yunus Bicer, Nazim Kemal Ure, Muharrem Ugur Yavas, Can Kurtulus:
Automated Lane Change Decision Making using Deep Reinforcement Learning in Dynamic and Uncertain Highway Environment. CoRR abs/1909.11538 (2019)
Coauthor Index
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