Nazim Kemal Ure

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 38

Top Topics

Reinforcement Learning

Error Estimation

Generalization Capabilities

Cooperative Behavior

Top Venues

Publications

Mehmetcan Kaymaz, Recep Ayzit, Onur Akgün, Kamil Canberk Atik, Mustafa Erdem, Baris Yalcin, Gürkan Cetin, Nazim Kemal Ure
Trading-Off Safety with Agility Using Deep Pose Error Estimation and Reinforcement Learning for Perception-Driven UAV Motion Planning. J. Intell. Robotic Syst. 110 (2) (2024)
Mehmetcan Kaymaz, Nazim Kemal Ure
Iterative Active-Inactive Obstacle Classification for Time-Optimal Collision Avoidance. CoRR (2024)
Gulay Goktas Sever, Umut Demir, Abdullah Sadik Satir, Mustafa Cagatay Sahin, Nazim Kemal Ure
An Integrated Imitation and Reinforcement Learning Methodology for Robust Agile Aircraft Control with Limited Pilot Demonstration Data. CoRR (2024)
Reyhan Kevser Keser, Aydin Ayanzadeh, Omid Abdollahi Aghdam, Çaglar Kilcioglu, Behcet Ugur Töreyin, Nazim Kemal Ure
PURSUhInT: In Search of Informative Hint Points Based on Layer Clustering for Knowledge Distillation. Expert Syst. Appl. 213 (Part C) (2023)
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) (2023)
Mehmetcan Kaymaz, Nazim Kemal Ure
Obstacle Identification and Ellipsoidal Decomposition for Fast Motion Planning in Unknown Dynamic Environments. ICRA (2023)
Ahmet Semih Tasbas, Safa Onur Sahin, Nazim Kemal Ure
Reinforcement Learning Based Self-play and State Stacking Techniques for Noisy Air Combat Environment. CoRR (2023)
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)
Resul Dagdanov, Halil Durmus, Nazim Kemal Ure
Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms. ICRA (2023)
Bengisu Guresti, Abdullah Vanlioglu, Nazim Kemal Ure
IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to Self-Interested Agents in Sequential Social Dilemmas. AAMAS (2023)
Bengisu Guresti, Abdullah Vanlioglu, Nazim Kemal Ure
IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to Self-Interested Agents in Sequential Social Dilemmas. CoRR (2023)
Kamil Canberk Atik, Enes Erdogan, Ahmet Yusuf Yahsi, Feyzullah Kara, Baris Yalcin, Gürkan Cetin, Nazim Kemal Ure
Cooperative Visual Inertial Odometry for Heterogeneous Swarm of Drones Navigating in Noisy Environments. ISIE (2022)
Philipp Haindl, Thomas Hoch, Javier Dominguez, Julen Aperribai, Nazim Kemal Ure, Mehmet Tunçel
Quality Characteristics of a Software Platform for Human-AI Teaming in Smart Manufacturing. CoRR (2022)
Dogay Kamar, Nazim Kemal Ure, Gözde B. Ünal
GAN-based Intrinsic Exploration for Sample Efficient Reinforcement Learning. ICAART (2) (2022)
Umut Demir, A. Sadik Satir, Gulay Goktas Sever, Cansu Yikilmaz, Nazim Kemal Ure
Scalable Planning and Learning Framework Development for Swarm-to-Swarm Engagement Problems. CoRR (2022)
Dogay Kamar, Nazim Kemal Ure, Gözde B. Ünal
GAN-based Intrinsic Exploration For Sample Efficient Reinforcement Learning. CoRR (2022)
Umut Demir, Nazim Kemal Ure
A Scalable Reinforcement Learning Approach for Attack Allocation in Swarm to Swarm Engagement Problems. CoRR (2022)
Philipp Haindl, Thomas Hoch, Javier Dominguez, Julen Aperribai, Nazim Kemal Ure, Mehmet Tunçel
Quality Characteristics of a Software Platform for Human-AI Teaming in Smart Manufacturing. QUATIC (2022)
Resul Dagdanov, Halil Durmus, Nazim Kemal Ure
Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms. CoRR (2022)
Resul Dagdanov, Feyza Eksen, Halil Durmus, Ferhat Yurdakul, Nazim Kemal Ure
DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous Driving. CoRR (2022)
M. Ugur Yavas, Tufan Kumbasar, Nazim Kemal Ure
Model-Based Reinforcement Learning for Advanced Adaptive Cruise Control: A Hybrid Car Following Policy. IV (2022)
Mehmetcan Kaymaz, Nazim Kemal Ure
Obstacle Identification and Ellipsoidal Decomposition for Fast Motion Planning in Unknown Dynamic Environments. CoRR (2022)
Resul Dagdanov, Feyza Eksen, Halil Durmus, Ferhat Yurdakul, Nazim Kemal Ure
DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous Driving. ITSC (2022)
Anil Öztürk, Mustafa Burak Gunel, Resul Dagdanov, Mirac Ekim Vural, Ferhat Yurdakul, Melih Dal, Nazim Kemal Ure
Investigating Value of Curriculum Reinforcement Learning in Autonomous Driving Under Diverse Road and Weather Conditions. CoRR (2021)
Anil Öztürk, Mustafa Burak Gunel, Resul Dagdanov, Mira Ekim Vural, Ferhat Yurdakul, Melih Dal, Nazim Kemal Ure
Investigating Value of Curriculum Reinforcement Learning in Autonomous Driving Under Diverse Road and Weather Conditions. IV Workshops (2021)
Bengisu Guresti, Nazim Kemal Ure
Evaluating Generalization and Transfer Capacity of Multi-Agent Reinforcement Learning Across Variable Number of Agents. CoRR (2021)
Reyhan Kevser Keser, Aydin Ayanzadeh, Omid Abdollahi Aghdam, Çaglar Kilcioglu, Behçet Ugur Töreyin, Nazim Kemal Ure
PURSUhInT: In Search of Informative Hint Points Based on Layer Clustering for Knowledge Distillation. CoRR (2021)
Burak Han Demirbilek, Ahmet Semih Tasbas, Nazim Kemal Ure
Attitude Control of a Gun Turret Platform with Reinforcement Learning. SIU (2021)
Samet Uzun, Nazim Kemal Ure
Decentralized State-Dependent Markov Chain Synthesis for Swarm Guidance. CoRR (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. CoRR (2020)
Yunus Bicer, Ali Alizadeh, Nazim Kemal Ure, Ahmetcan Erdogan, Orkun Kizilirmak
Sample Efficient Interactive End-to-End Deep Learning for Self-Driving Cars with Selective Multi-Class Safe Dataset Aggregation. 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)
Mustafa Ergen, Feride Inan, Onur Ergen, Ibraheem Shayea, Mehmet Fatih Tüysüz, Azizul Azizan, Nazim Kemal Ure, Maziar M. Nekovee
Edge on Wheels With OMNIBUS Networking for 6G Technology. IEEE Access 8 (2020)
Samet Uzun, Nazim Kemal Ure
A Probabilistic Guidance Approach to Swarm-to-Swarm Engagement Problem. CoRR (2020)
Yunus Bicer, Ali Alizadeh, Nazim Kemal Ure, Ahmetcan Erdogan, Orkun Kizilirmak
Sample Efficient Interactive End-to-End Deep Learning for Self-Driving Cars with Selective Multi-Class Safe Dataset Aggregation. IROS (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)
Baris Baspinar, Cengiz Pasaoglu, Nazim Kemal Ure, Gökhan Inalhan
Infrastructure Development for Ground-Based Separation Assurance with Optional Automation. ATACCS (2015)