Kai Cui

Orcid: 0000-0002-2605-0386

Affiliations:
  • TU Darmstadt, Department of Electrical Engineering, Germany


According to our database1, Kai Cui authored at least 24 papers between 2021 and 2024.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
FPGA-Based Neural Thrust Controller for UAVs.
CoRR, 2024

Collaborative Optimization of the Age of Information Under Partial Observability.
Proceedings of the IFIP Networking Conference, 2024

Optimal Collaborative Transportation for Under-Capacitated Vehicle Routing Problems using Aerial Drone Swarms.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

A Modular Aerial System Based on Homogeneous Quadrotors with Fault-Tolerant Control.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Major-Minor Mean Field Multi-Agent Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning Discrete-Time Major-Minor Mean Field Games.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Mean Field Games on Weighted and Directed Graphs via Colored Digraphons.
IEEE Control. Syst. Lett., 2023

Sparse Mean Field Load Balancing in Large Localized Queueing Systems.
CoRR, 2023

UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment.
CoRR, 2023

Multi-Agent Reinforcement Learning via Mean Field Control: Common Noise, Major Agents and Approximation Properties.
CoRR, 2023

UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment.
Proceedings of the 48th IEEE Conference on Local Computer Networks, 2023

Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Learning Sparse Graphon Mean Field Games.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning.
CoRR, 2022

Hypergraphon Mean Field Games.
CoRR, 2022

Nearest-Neighbor-based Collision Avoidance for Quadrotors via Reinforcement Learning.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Learning Mean-Field Control for Delayed Information Load Balancing in Large Queuing Systems.
Proceedings of the 51st International Conference on Parallel Processing, 2022

Learning Graphon Mean Field Games and Approximate Nash Equilibria.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Optimal Offloading Strategies for Edge-Computing via Mean-Field Games and Control.
Proceedings of the IEEE Global Communications Conference, 2022

2021
Decentralized Swarm Collision Avoidance for Quadrotors via End-to-End Reinforcement Learning.
CoRR, 2021

Discrete-Time Mean Field Control with Environment States.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021


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