Integration of Path/Maneuver Planning in Complex Environments for Agile Maneuvering UCAVs. - Emre Koyuncu; N. Kemal Ure; Gökhan Inalhan (J. Intell. Robotic Syst., 2010)

Design and flight testing of an autonomous variable-pitch quadrotor. - Buddy Michini; Josh Redding; N. Kemal Ure; Mark Cutler; Jonathan P. How (ICRA, 2011)

Scalable, MDP-based planning for multiple, cooperating agents. - Joshua D. Redding; N. Kemal Ure; Jonathan P. How; Matthew A. Vavrina; John Vian (ACC, 2012)

Adaptive Planning for Markov Decision Processes with Uncertain Transition Models via Incremental Feature Dependency Discovery. - N. Kemal Ure; Alborz Geramifard; Girish Chowdhary 001; Jonathan P. How (ECML/PKDD (2), 2012)

Decentralized control of partially observable Markov decision processes. - Christopher Amato; Girish Chowdhary 001; Alborz Geramifard; N. Kemal Ure; Mykel J. Kochenderfer (CDC, 2013)

Health Aware Planning under uncertainty for UAV missions with heterogeneous teams. - N. Kemal Ure; Girish Chowdhary 001; Jonathan P. How; Matthew A. Vavrina; John Vian (ECC, 2013)

Planning for large-scale multiagent problems via hierarchical decomposition with applications to UAV health management. - Yu Fan Chen; N. Kemal Ure; Girish Chowdhary 001; Jonathan P. How; John Vian (ACC, 2014)

Health aware stochastic planning for persistent package delivery missions using quadrotors. - Ali-akbar Agha-mohammadi; N. Kemal Ure; Jonathan P. How; John Vian (IROS, 2014)

Distributed Learning for Planning Under Uncertainty Problems with Heterogeneous Teams - Scaling Up the Multiagent Planning with Distributed Learning and Approximate Representations. - N. Kemal Ure; Girish Chowdhary 001; Yu Fan Chen; Jonathan P. How; John Vian (J. Intell. Robotic Syst., 2014)

Infrastructure Development for Ground-Based Separation Assurance with Optional Automation. - Baris Baspinar; Cengiz Pasaoglu; Nazim Kemal Ure; Gökhan Inalhan (ATACCS, 2015)

Randomized Coordination Search for Scalable Multiagent Planning. - N. Kemal Ure; Jonathan P. How; John Vian (AAMAS, 2015)

Online heterogeneous multiagent learning under limited communication with applications to forest fire management. - N. Kemal Ure; Shayegan Omidshafiei; Brett Thomas Lopez; Ali-akbar Agha-mohammadi; Jonathan P. How; John Vian (IROS, 2015)

Health Aware Planning Under Uncertainty for Collaborating Heterogeneous Teams of Mobile Agents. - N. Kemal Ure; Girish Chowdhary 001; Jonathan P. How; John Vian (Unmanned Syst., 2015)

Deep Recurrent and Convolutional Networks for Accelerated Fault Tolerant Adaptive Flight Control Under Severe Failures. - Batuhan Eroglu; Mustafa Cagatay Sahin; Burak Yuksek; N. Kemal Ure; Gökhan Inalhan (ACC, 2018)

An Online Algorithm for Optimizing Invariant Conditions for Procedural Nonlinear Constrained Hybrid Systems. - Anil Yildiz; N. Kemal Ure; Gökhan Inalhan (ACC, 2018)

Sample Efficient Interactive End-to-End Deep Learning for Self-Driving Cars with Selective Multi-Class Safe Dataset Aggregation. - Yunus Bicer; Ali Alizadeh; Nazim Kemal Ure; Ahmetcan Erdogan; Orkun Kizilirmak (IROS, 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 (ITSC, 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 (IV, 2019)

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 (IV, 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 (IV, 2020)

Edge on Wheels With OMNIBUS Networking for 6G Technology. - Mustafa Ergen; Feride Inan; Onur Ergen; Ibraheem Shayea; Mehmet Fatih Tüysüz; Azizul Azizan; Nazim Kemal Ure; Maziar M. Nekovee (IEEE Access, 2020)

A Probabilistic Guidance Approach to Swarm-to-Swarm Engagement Problem. - Samet Uzun; Nazim Kemal Ure (CoRR, 2020)

Decentralized State-Dependent Markov Chain Synthesis for Swarm Guidance. - Samet Uzun; Nazim Kemal Ure (CoRR, 2020)

Learning How to Trade-Off Safety with Agility Using Deep Covariance Estimation for Perception Driven UAV Motion Planning. - Onur Akgün; Kamil Canberk Atik; Mustafa Erdem; Mehmetcan Kaymaz; Bugrahan Yamak; N. Kemal Ure (CoRR, 2020)

Nonlinear Model Based Guidance with Deep Learning Based Target Trajectory Prediction Against Aerial Agile Attack Patterns. - A. Sadik Satir; Umut Demir; Gulay Goktas Sever; N. Kemal Ure (ACC, 2021)

Investigating Value of Curriculum Reinforcement Learning in Autonomous Driving Under Diverse Road and Weather Conditions. - Anil Öztürk; Mustafa Burak Gunel; Resul Dagdanov; Mirac Ekim Vural; Ferhat Yurdakul; Melih Dal; Nazim Kemal Ure (IV Workshops, 2021)

Attitude Control of a Gun Turret Platform with Reinforcement Learning. - Burak Han Demirbilek; Ahmet Semih Tasbas; Nazim Kemal Ure (SIU, 2021)

Evaluating Generalization and Transfer Capacity of Multi-Agent Reinforcement Learning Across Variable Number of Agents. - Bengisu Guresti; Nazim Kemal Ure (CoRR, 2021)

GAN-based Intrinsic Exploration for Sample Efficient Reinforcement Learning. - Dogay Kamar; Nazim Kemal Ure; Gözde B. Ünal (ICAART (2), 2022)

Cooperative Visual Inertial Odometry for Heterogeneous Swarm of Drones Navigating in Noisy Environments. - Kamil Canberk Atik; Enes Erdogan; Ahmet Yusuf Yahsi; Feyzullah Kara; Baris Yalcin; Gürkan Cetin; Nazim Kemal Ure (ISIE, 2022)

DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous Driving. - Resul Dagdanov; Feyza Eksen; Halil Durmus; Ferhat Yurdakul; Nazim Kemal Ure (ITSC, 2022)

Model-Based Reinforcement Learning for Advanced Adaptive Cruise Control: A Hybrid Car Following Policy. - Muharrem Ugur Yavas; Tufan Kumbasar; Nazim Kemal Ure (IV, 2022)

Quality Characteristics of a Software Platform for Human-AI Teaming in Smart Manufacturing. - Philipp Haindl; Thomas Hoch; Javier Dominguez; Julen Aperribai; Nazim Kemal Ure; Mehmet Tunçel (QUATIC, 2022)

A Scalable Reinforcement Learning Approach for Attack Allocation in Swarm to Swarm Engagement Problems. - Umut Demir; Nazim Kemal Ure (CoRR, 2022)

Scalable Planning and Learning Framework Development for Swarm-to-Swarm Engagement Problems. - Umut Demir; A. Sadik Satir; Gulay Goktas Sever; Cansu Yikilmaz; Nazim Kemal Ure (CoRR, 2022)

IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to Self-Interested Agents in Sequential Social Dilemmas. - Bengisu Guresti; Abdullah Vanlioglu; Nazim Kemal Ure (AAMAS, 2023)

Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms. - Resul Dagdanov; Halil Durmus; Nazim Kemal Ure (ICRA, 2023)

Obstacle Identification and Ellipsoidal Decomposition for Fast Motion Planning in Unknown Dynamic Environments. - Mehmetcan Kaymaz; Nazim Kemal Ure (ICRA, 2023)

Autonomous Air Combat with Reinforcement Learning under Different Noise Conditions. - Ahmet Semih Tasbas; Sanberk Serbest; Safa Onur Sahin; Nazim Kemal Üre (SIU, 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)

Extended matrix norm method: Applications to bimatrix games and convergence results. - Burhaneddin Izgi; Murat Özkaya; Nazim Kemal Üre; Matjaz Perc (Appl. Math. Comput., 2023)

Reinforcement Learning Based Self-play and State Stacking Techniques for Noisy Air Combat Environment. - Ahmet Semih Tasbas; Safa Onur Sahin; Nazim Kemal Ure (CoRR, 2023)

Beyond Traditional DoE: Deep Reinforcement Learning for Optimizing Experiments in Model Identification of Battery Dynamics. - Gokhan Budan; Francesca Damiani; Can Kurtulus; N. Kemal Ure (CoRR, 2023)

PURSUhInT: In Search of Informative Hint Points Based on Layer Clustering for Knowledge Distillation. - Reyhan Kevser Keser; Aydin Ayanzadeh; Omid Abdollahi Aghdam; Çaglar Kilcioglu; Behcet Ugur Töreyin; Nazim Kemal Ure (Expert Syst. Appl., 2023)

Machine learning driven extended matrix norm method for the solution of large-scale zero-sum matrix games. - Burhaneddin Izgi; Murat Özkaya; Nazim Kemal Üre; Matjaz Perc (J. Comput. Sci., 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., 2023)

Matrix norm based hybrid Shapley and iterative methods for the solution of stochastic matrix games. - Burhaneddin Izgi; Murat Özkaya; Nazim Kemal Üre; Matjaz Perc (Appl. Math. Comput., 2024)

An Integrated Imitation and Reinforcement Learning Methodology for Robust Agile Aircraft Control with Limited Pilot Demonstration Data. - Gulay Goktas Sever; Umut Demir; Abdullah Sadik Satir; Mustafa Cagatay Sahin; Nazim Kemal Ure (CoRR, 2024)

Iterative Active-Inactive Obstacle Classification for Time-Optimal Collision Avoidance. - Mehmetcan Kaymaz; Nazim Kemal Ure (CoRR, 2024)

Managing human-AI collaborations within Industry 5.0 scenarios via knowledge graphs: key challenges and lessons learned. - Franz Krause; Heiko Paulheim; Elmar Kiesling; Kabul Kurniawan; Maria Chiara Leva; Hector Diego Estrada-Lugo; Gernot Stübl; Nazim Kemal Üre; Javier Dominguez-Ledo; Maqbool Khan; Pedro Demolder; Hans Gaux; et al. (Frontiers Artif. Intell., 2024)

Trading-Off Safety with Agility Using Deep Pose Error Estimation and Reinforcement Learning for Perception-Driven UAV Motion Planning. - Mehmetcan Kaymaz; Recep Ayzit; Onur Akgün; Kamil Canberk Atik; Mustafa Erdem; Baris Yalcin; Gürkan Cetin; Nazim Kemal Ure (J. Intell. Robotic Syst., 2024)

Decentralized State-Dependent Markov Chain Synthesis With an Application to Swarm Guidance. - Samet Uzun; Nazim Kemal Üre; Behçet Açikmese (IEEE Trans. Autom. Control., 2024)

A holistic matrix norm-based alternative solution method for Markov reward games. - Burhaneddin Izgi; Murat Özkaya; Nazim Kemal Üre; Matjaz Perc (Appl. Math. Comput., 2025)