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N. Kemal Ure
Nazim Kemal Ure – Nazim Kemal Üre
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2020 – today
- 2025
- [j14]Burhaneddin Izgi
, Murat Özkaya
A holistic matrix norm-based alternative solution method for Markov reward games. Appl. Math. Comput. 488: 129124 (2025) - 2024
- [j13]Burhaneddin Izgi
Matrix norm based hybrid Shapley and iterative methods for the solution of stochastic matrix games. Appl. Math. Comput. 473: 128638 (2024) - [j12]Franz Krause, Heiko Paulheim
Managing human-AI collaborations within Industry 5.0 scenarios via knowledge graphs: key challenges and lessons learned. Frontiers Artif. Intell. 7 (2024) - [j11]Mehmetcan Kaymaz
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): 55 (2024) - [j10]Samet Uzun
Decentralized State-Dependent Markov Chain Synthesis With an Application to Swarm Guidance. IEEE Trans. Autom. Control. 69(9): 5759-5774 (2024) - [i23]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 abs/2401.08663 (2024) - [i22]Mehmetcan Kaymaz, Nazim Kemal Ure:
Iterative Active-Inactive Obstacle Classification for Time-Optimal Collision Avoidance. CoRR abs/2403.13474 (2024) - 2023
- [j9]Muharrem Ugur Yavas
Toward Learning Human-Like, Safe and Comfortable Car-Following Policies With a Novel Deep Reinforcement Learning Approach. IEEE Access 11: 16843-16854 (2023) - [j8]Burhaneddin Izgi
Extended matrix norm method: Applications to bimatrix games and convergence results. Appl. Math. Comput. 438: 127553 (2023) - [j7]Reyhan Kevser Keser
PURSUhInT: In Search of Informative Hint Points Based on Layer Clustering for Knowledge Distillation. Expert Syst. Appl. 213(Part C): 119040 (2023) - [j6]Burhaneddin Izgi
Machine learning driven extended matrix norm method for the solution of large-scale zero-sum matrix games. J. Comput. Sci. 68: 101997 (2023) - [j5]Muharrem Ugur Yavas
A Real-World Reinforcement Learning Framework for Safe and Human-Like Tactical Decision-Making. IEEE Trans. Intell. Transp. Syst. 24(11): 11773-11784 (2023) - [c29]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: 2143-2151 - [c28]Mehmetcan Kaymaz, Nazim Kemal Ure:
Obstacle Identification and Ellipsoidal Decomposition for Fast Motion Planning in Unknown Dynamic Environments. ICRA 2023: 1694-1700 - [c27]Resul Dagdanov
Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms. ICRA 2023: 5631-5637 - [c26]Ahmet Semih Tasbas, Sanberk Serbest, Safa Onur Sahin, Nazim Kemal Üre:
Autonomous Air Combat with Reinforcement Learning under Different Noise Conditions. SIU 2023: 1-4 - [i21]Bengisu Guresti, Abdullah Vanlioglu, Nazim Kemal Ure:
IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to Self-Interested Agents in Sequential Social Dilemmas. CoRR abs/2302.14604 (2023) - [i20]Ahmet Semih Tasbas, Safa Onur Sahin, Nazim Kemal Ure:
Reinforcement Learning Based Self-play and State Stacking Techniques for Noisy Air Combat Environment. CoRR abs/2303.03068 (2023) - [i19]Gokhan Budan, Francesca Damiani, Can Kurtulus, N. Kemal Ure:
Beyond Traditional DoE: Deep Reinforcement Learning for Optimizing Experiments in Model Identification of Battery Dynamics. CoRR abs/2310.08198 (2023) - 2022
- [c25]Dogay Kamar, Nazim Kemal Ure, Gözde B. Ünal:
GAN-based Intrinsic Exploration for Sample Efficient Reinforcement Learning. ICAART (2) 2022: 264-272 - [c24]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: 727-734 - [c23]Resul Dagdanov
DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous Driving. ITSC 2022: 4215-4220 - [c22]Muharrem Ugur Yavas, Tufan Kumbasar
Model-Based Reinforcement Learning for Advanced Adaptive Cruise Control: A Hybrid Car Following Policy. IV 2022: 1466-1472 - [c21]Philipp Haindl
Quality Characteristics of a Software Platform for Human-AI Teaming in Smart Manufacturing. QUATIC 2022: 3-17 - [i18]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 abs/2205.15767 (2022) - [i17]Dogay Kamar, Nazim Kemal Ure, Gözde B. Ünal:
GAN-based Intrinsic Exploration For Sample Efficient Reinforcement Learning. CoRR abs/2206.14256 (2022) - [i16]Mehmetcan Kaymaz, Nazim Kemal Ure:
Obstacle Identification and Ellipsoidal Decomposition for Fast Motion Planning in Unknown Dynamic Environments. CoRR abs/2209.14233 (2022) - [i15]Umut Demir
A Scalable Reinforcement Learning Approach for Attack Allocation in Swarm to Swarm Engagement Problems. CoRR abs/2210.08319 (2022) - [i14]Resul Dagdanov
DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous Driving. CoRR abs/2210.16567 (2022) - [i13]Resul Dagdanov
Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms. CoRR abs/2210.16575 (2022) - [i12]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 abs/2212.02909 (2022) - 2021
- [c20]A. Sadik Satir
Nonlinear Model Based Guidance with Deep Learning Based Target Trajectory Prediction Against Aerial Agile Attack Patterns. ACC 2021: 2607-2612 - [c19]Anil Öztürk, Mustafa Burak Gunel, Resul Dagdanov
Investigating Value of Curriculum Reinforcement Learning in Autonomous Driving Under Diverse Road and Weather Conditions. IV Workshops 2021: 358-363 - [c18]Burak Han Demirbilek, Ahmet Semih Tasbas, Nazim Kemal Ure:
Attitude Control of a Gun Turret Platform with Reinforcement Learning. SIU 2021: 1-4 - [i11]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 abs/2103.00053 (2021) - [i10]Anil Öztürk, Mustafa Burak Gunel, Resul Dagdanov
Investigating Value of Curriculum Reinforcement Learning in Autonomous Driving Under Diverse Road and Weather Conditions. CoRR abs/2103.07903 (2021) - [i9]A. Sadik Satir, Umut Demir, Gulay Goktas Sever, N. Kemal Ure:
Nonlinear Model Based Guidance with Deep Learning Based Target Trajectory Prediction Against Aerial Agile Attack Patterns. CoRR abs/2104.02491 (2021) - [i8]Bengisu Guresti, Nazim Kemal Ure:
Evaluating Generalization and Transfer Capacity of Multi-Agent Reinforcement Learning Across Variable Number of Agents. CoRR abs/2111.14177 (2021) - 2020
- [j4]Mustafa Ergen
Edge on Wheels With OMNIBUS Networking for 6G Technology. IEEE Access 8: 215928-215942 (2020) - [c17]Muharrem Ugur Yavas, Tufan Kumbasar
A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward. IV 2020: 1156-1161 - [c16]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 - [i7]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) - [i6]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 abs/2007.14671 (2020) - [i5]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) - [i4]Samet Uzun, Nazim Kemal Ure:
A Probabilistic Guidance Approach to Swarm-to-Swarm Engagement Problem. CoRR abs/2012.01928 (2020) - [i3]Samet Uzun, Nazim Kemal Ure:
Decentralized State-Dependent Markov Chain Synthesis for Swarm Guidance. CoRR abs/2012.02303 (2020) - [i2]Onur Akgün, Kamil Canberk Atik, Mustafa Erdem, Mehmetcan Kaymaz, Bugrahan Yamak, N. Kemal Ure:
Learning How to Trade-Off Safety with Agility Using Deep Covariance Estimation for Perception Driven UAV Motion Planning. CoRR abs/2012.06410 (2020)
2010 – 2019
- 2019
- [c15]Yunus Bicer, Ali Alizadeh
Sample Efficient Interactive End-to-End Deep Learning for Self-Driving Cars with Selective Multi-Class Safe Dataset Aggregation. IROS 2019: 2629-2634 - [c14]Ali Alizadeh
Automated Lane Change Decision Making using Deep Reinforcement Learning in Dynamic and Uncertain Highway Environment. ITSC 2019: 1399-1404 - [c13]N. Kemal Ure
Enhancing Situational Awareness and Performance of Adaptive Cruise Control through Model Predictive Control and Deep Reinforcement Learning. IV 2019: 626-631 - [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) - 2018
- [c12]Anil Yildiz, N. Kemal Ure
An Online Algorithm for Optimizing Invariant Conditions for Procedural Nonlinear Constrained Hybrid Systems. ACC 2018: 1430-1437 - [c11]Batuhan Eroglu, Mustafa Cagatay Sahin, Burak Yuksek
Deep Recurrent and Convolutional Networks for Accelerated Fault Tolerant Adaptive Flight Control Under Severe Failures. ACC 2018: 6559-6565 - 2015
- [j3]N. Kemal Ure
Health Aware Planning Under Uncertainty for Collaborating Heterogeneous Teams of Mobile Agents. Unmanned Syst. 3(2): 89-107 (2015) - [c10]Baris Baspinar, Cengiz Pasaoglu, Nazim Kemal Ure
Infrastructure Development for Ground-Based Separation Assurance with Optional Automation. ATACCS 2015: 65-74 - [c9]N. Kemal Ure, Jonathan P. How, John Vian:
Randomized Coordination Search for Scalable Multiagent Planning. AAMAS 2015: 1793-1794 - [c8]N. Kemal Ure
Online heterogeneous multiagent learning under limited communication with applications to forest fire management. IROS 2015: 5181-5188 - 2014
- [j2]N. Kemal Ure
Distributed Learning for Planning Under Uncertainty Problems with Heterogeneous Teams - Scaling Up the Multiagent Planning with Distributed Learning and Approximate Representations. J. Intell. Robotic Syst. 74(1-2): 529-544 (2014) - [c7]Yu Fan Chen, N. Kemal Ure
Planning for large-scale multiagent problems via hierarchical decomposition with applications to UAV health management. ACC 2014: 1279-1285 - [c6]Ali-akbar Agha-mohammadi, N. Kemal Ure
Health aware stochastic planning for persistent package delivery missions using quadrotors. IROS 2014: 3389-3396 - 2013
- [c5]Christopher Amato
Decentralized control of partially observable Markov decision processes. CDC 2013: 2398-2405 - [c4]N. Kemal Ure
Health Aware Planning under uncertainty for UAV missions with heterogeneous teams. ECC 2013: 3312-3319 - 2012
- [c3]Joshua D. Redding, N. Kemal Ure
Scalable, MDP-based planning for multiple, cooperating agents. ACC 2012: 6011-6016 - [c2]N. Kemal Ure
Adaptive Planning for Markov Decision Processes with Uncertain Transition Models via Incremental Feature Dependency Discovery. ECML/PKDD (2) 2012: 99-115 - 2011
- [c1]Buddy Michini, Josh Redding, N. Kemal Ure
Design and flight testing of an autonomous variable-pitch quadrotor. ICRA 2011: 2978-2979 - 2010
- [j1]Emre Koyuncu
Integration of Path/Maneuver Planning in Complex Environments for Agile Maneuvering UCAVs. J. Intell. Robotic Syst. 57(1-4): 143-170 (2010)
Coauthor Index
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