Chanyoung Park
Orcid: 0000-0002-7945-2362Affiliations:
- Korea University, School of Electrical Engineering, Seoul, Korea
According to our database1,
Chanyoung Park
authored at least 21 papers
between 2022 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Joint Quantum Reinforcement Learning and Stabilized Control for Spatio-Temporal Coordination in Metaverse.
IEEE Trans. Mob. Comput., December, 2024
Handover Protocol Learning for LEO Satellite Networks: Access Delay and Collision Minimization.
IEEE Trans. Wirel. Commun., July, 2024
Age-of-Information Aware Caching and Delivery for Infrastructure-Assisted Connected Vehicles.
IEEE Trans. Veh. Technol., July, 2024
IEEE Commun. Mag., June, 2024
IEEE Trans. Veh. Technol., April, 2024
2023
Two-Stage Self-Adaptive Task Outsourcing Decision Making for Edge-Assisted Multi-UAV Networks.
IEEE Trans. Veh. Technol., November, 2023
Multi-Agent Reinforcement Learning for Cooperative Air Transportation Services in City-Wide Autonomous Urban Air Mobility.
IEEE Trans. Intell. Veh., August, 2023
Quantum Multiagent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems.
IEEE Internet Things J., 2023
EQuaTE: Efficient Quantum Train Engine for Runtime Dynamic Analysis and Visual Feedback in Autonomous Driving.
IEEE Internet Comput., 2023
Two Tales of Platoon Intelligence for Autonomous Mobility Control: Enabling Deep Learning Recipes.
CoRR, 2023
Coordinated Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Swarms in Autonomous Mobile Access Applications.
CoRR, 2023
Quantum Multi-Agent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems.
CoRR, 2023
EQuaTE: Efficient Quantum Train Engine for Dynamic Analysis via HCI-based Visual Feedback.
CoRR, 2023
Workload-Aware Scheduling Using Markov Decision Process for Infrastructure-Assisted Learning-Based Multi-UAV Surveillance Networks.
IEEE Access, 2023
Proceedings of the International Conference on Information Networking, 2023
Poster: Coordinated Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Swarms in Autonomous Mobile Access Applications.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023
Demo: EQuaTE: Efficient Quantum Train Engine Design and Demonstration for Dynamic Software Analysis.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023
Multi-Agent Deep Reinforcement Learning for Efficient Passenger Delivery in Urban Air Mobility.
Proceedings of the IEEE International Conference on Communications, 2023
2022
Visual Simulation Software Demonstration for Quantum Multi-Drone Reinforcement Learning.
CoRR, 2022
CoRR, 2022
Cooperative Multi-Agent Deep Reinforcement Learning for Reliable and Energy-Efficient Mobile Access via Multi-UAV Control.
CoRR, 2022