Muharrem Ugur Yavas

According to our database, Muharrem Ugur Yavas authored at least 7 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

A Real-World Reinforcement Learning Framework for Safe and Human-Like Tactical Decision-Making.

Muharrem Ugur Yavas, Tufan Kumbasar, Nazim Kemal Ure

IEEE Trans. Intell. Transp. Syst., November, 2023

Toward Learning Human-Like, Safe and Comfortable Car-Following Policies With a Novel Deep Reinforcement Learning Approach.

Muharrem Ugur Yavas, Tufan Kumbasar, Nazim Kemal Ure

IEEE Access, 2023

2022

Model-Based Reinforcement Learning for Advanced Adaptive Cruise Control: A Hybrid Car Following Policy.

Muharrem Ugur Yavas, Tufan Kumbasar, Nazim Kemal Ure

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

2020

A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward.

Muharrem Ugur Yavas, Tufan Kumbasar, Nazim Kemal Ure

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Development of A Stochastic Traffic Environment with Generative Time-Series Models for Improving Generalization Capabilities of Autonomous Driving Agents.

Anil Öztürk, Mustafa Burak Gunel, Melih Dal, Muharrem Ugur Yavas, Nazim Kemal Ure

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2019

Enhancing Situational Awareness and Performance of Adaptive Cruise Control through Model Predictive Control and Deep Reinforcement Learning.

N. Kemal Ure, Muharrem Ugur Yavas, Ali Alizadeh, Can Kurtulus

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Automated Lane Change Decision Making using Deep Reinforcement Learning in Dynamic and Uncertain Highway Environment.

Ali Alizadeh, Majid Moghadam, Yunus Bicer, Nazim Kemal Ure, Muharrem Ugur Yavas, Can Kurtulus

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019