M. Ugur Yavas

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 9

Top Topics

Decision Making

Complex Environments

Generalization Capabilities

Reinforcement Learning

Top Venues

Publications

M. 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 (2023)
M. Ugur Yavas, Tufan Kumbasar, Nazim Kemal Ure
Model-Based Reinforcement Learning for Advanced Adaptive Cruise Control: A Hybrid Car Following Policy. IV (2022)
Anil Öztürk, Mustafa Burak Gunel, Melih Dal, M. 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 (2020)
M. 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)
Anil Öztürk, Mustafa Burak Gunel, Melih Dal, M. 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)
M. 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 (2020)
N. Kemal Ure, M. 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)
Ali Alizadeh, Majid Moghadam, Yunus Bicer, Nazim Kemal Ure, M. Ugur Yavas, Can Kurtulus
Automated Lane Change Decision Making using Deep Reinforcement Learning in Dynamic and Uncertain Highway Environment. ITSC (2019)
Ali Alizadeh, Majid Moghadam, Yunus Bicer, Nazim Kemal Ure, M. Ugur Yavas, Can Kurtulus
Automated Lane Change Decision Making using Deep Reinforcement Learning in Dynamic and Uncertain Highway Environment. CoRR (2019)