Gyu Seon Kim

Orcid: 0000-0002-5559-9749

According to our database1, Gyu Seon Kim authored at least 12 papers between 2023 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2023
2024
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Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Markov Decision Policies for Distributed Angular Routing in LEO Mobile Satellite Constellation Networks.
IEEE Internet Things J., December, 2024

Quantum Multi-Agent Reinforcement Learning is All You Need: Coordinated Global Access in Integrated TN/NTN Cube-Satellite Networks.
IEEE Commun. Mag., October, 2024

Realizing Stabilized Landing for Computation-Limited Reusable Rockets: A Quantum Reinforcement Learning Approach.
IEEE Trans. Veh. Technol., August, 2024

Quantum Multi-Agent Reinforcement Learning for Cooperative Mobile Access in Space-Air-Ground Integrated Networks.
CoRR, 2024

Farthest Agent Selection With Episode-Wise Observations for Real-Time Multi-Agent Reinforcement Learning Applications.
IEEE Access, 2024

Advanced Taxiing Path Guidance Using Multi-Agent Reinforcement Learning for Air Traffic Management.
Proceedings of the 22nd International Symposium on Modeling and Optimization in Mobile, 2024

Bicycle Rental Predictive Modeling with Machine Learning for Carbon Neutrality.
Proceedings of the 15th International Conference on Information and Communication Technology Convergence, 2024

Quantum Reinforcement Learning: An Overview.
Proceedings of the 15th International Conference on Information and Communication Technology Convergence, 2024

Quantum Multi - Agent Reinforcement Learning Software Design and Visual Simulations for Multi - Drone Mobility Control.
Proceedings of the IEEE VTS Asia Pacific Wireless Communications Symposium, 2024

2023
Multi-Agent Reinforcement Learning for Cooperative Air Transportation Services in City-Wide Autonomous Urban Air Mobility.
IEEE Trans. Intell. Veh., August, 2023

Hybrid MAC for Military UAV Networks.
Proceedings of the International Conference on Information Networking, 2023

Multi-Agent Deep Reinforcement Learning for Efficient Passenger Delivery in Urban Air Mobility.
Proceedings of the IEEE International Conference on Communications, 2023


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