N. Kemal Ure
Orcid: 0000-0003-2660-2141
According to our database1,
N. Kemal Ure
authored at least 49 papers
between 2010 and 2024.
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Bibliography
2024
Trading-Off Safety with Agility Using Deep Pose Error Estimation and Reinforcement Learning for Perception-Driven UAV Motion Planning.
J. Intell. Robotic Syst., June, 2024
Iterative Active-Inactive Obstacle Classification for Time-Optimal Collision Avoidance.
CoRR, 2024
An Integrated Imitation and Reinforcement Learning Methodology for Robust Agile Aircraft Control with Limited Pilot Demonstration Data.
CoRR, 2024
2023
A Real-World Reinforcement Learning Framework for Safe and Human-Like Tactical Decision-Making.
IEEE Trans. Intell. Transp. Syst., November, 2023
Machine learning driven extended matrix norm method for the solution of large-scale zero-sum matrix games.
J. Comput. Sci., April, 2023
PURSUhInT: In Search of Informative Hint Points Based on Layer Clustering for Knowledge Distillation.
Expert Syst. Appl., March, 2023
Beyond Traditional DoE: Deep Reinforcement Learning for Optimizing Experiments in Model Identification of Battery Dynamics.
CoRR, 2023
Reinforcement Learning Based Self-play and State Stacking Techniques for Noisy Air Combat Environment.
CoRR, 2023
Appl. Math. Comput., 2023
Toward Learning Human-Like, Safe and Comfortable Car-Following Policies With a Novel Deep Reinforcement Learning Approach.
IEEE Access, 2023
Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023
Obstacle Identification and Ellipsoidal Decomposition for Fast Motion Planning in Unknown Dynamic Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to Self-Interested Agents in Sequential Social Dilemmas.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
2022
Scalable Planning and Learning Framework Development for Swarm-to-Swarm Engagement Problems.
CoRR, 2022
A Scalable Reinforcement Learning Approach for Attack Allocation in Swarm to Swarm Engagement Problems.
CoRR, 2022
Quality Characteristics of a Software Platform for Human-AI Teaming in Smart Manufacturing.
Proceedings of the Quality of Information and Communications Technology, 2022
Model-Based Reinforcement Learning for Advanced Adaptive Cruise Control: A Hybrid Car Following Policy.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous Driving.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Cooperative Visual Inertial Odometry for Heterogeneous Swarm of Drones Navigating in Noisy Environments.
Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022
2021
Evaluating Generalization and Transfer Capacity of Multi-Agent Reinforcement Learning Across Variable Number of Agents.
CoRR, 2021
Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021
Investigating Value of Curriculum Reinforcement Learning in Autonomous Driving Under Diverse Road and Weather Conditions.
Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021
Nonlinear Model Based Guidance with Deep Learning Based Target Trajectory Prediction Against Aerial Agile Attack Patterns.
Proceedings of the 2021 American Control Conference, 2021
2020
Learning How to Trade-Off Safety with Agility Using Deep Covariance Estimation for Perception Driven UAV Motion Planning.
CoRR, 2020
A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward.
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.
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.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
Automated Lane Change Decision Making using Deep Reinforcement Learning in Dynamic and Uncertain Highway Environment.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Sample Efficient Interactive End-to-End Deep Learning for Self-Driving Cars with Selective Multi-Class Safe Dataset Aggregation.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
2018
An Online Algorithm for Optimizing Invariant Conditions for Procedural Nonlinear Constrained Hybrid Systems.
Proceedings of the 2018 Annual American Control Conference, 2018
Deep Recurrent and Convolutional Networks for Accelerated Fault Tolerant Adaptive Flight Control Under Severe Failures.
Proceedings of the 2018 Annual American Control Conference, 2018
2015
Health Aware Planning Under Uncertainty for Collaborating Heterogeneous Teams of Mobile Agents.
Unmanned Syst., 2015
Online heterogeneous multiagent learning under limited communication with applications to forest fire management.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015
Infrastructure Development for Ground-Based Separation Assurance with Optional Automation.
Proceedings of the 5th International Conference on Application and Theory of Automation in Command and Control Systems, 2015
2014
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., 2014
Health aware stochastic planning for persistent package delivery missions using quadrotors.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014
Planning for large-scale multiagent problems via hierarchical decomposition with applications to UAV health management.
Proceedings of the American Control Conference, 2014
2013
Proceedings of the 12th European Control Conference, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2012
Adaptive Planning for Markov Decision Processes with Uncertain Transition Models via Incremental Feature Dependency Discovery.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
Proceedings of the American Control Conference, 2012
2011
Proceedings of the IEEE International Conference on Robotics and Automation, 2011
2010
Integration of Path/Maneuver Planning in Complex Environments for Agile Maneuvering UCAVs.
J. Intell. Robotic Syst., 2010