Kai Cui
PhD student
Contact
kai.cui@bcs.tu-...
work +49 6151 16-57 474
fax +49 6151 16-57 241
Work
S3/19 1.3
Rundeturmstr. 12
64283
Darmstadt
Kai Cui joined the Bioinspired Communication Systems Lab as a PhD student in December 2019 and is part of the emergenCITY project funded by Hesse's research promotion programme LOEWE, sub-project KOM2. There, he is interested in applying reinforcement learning and mean field methods to optimize network configurations and drone communication networks.
Prior to that, he received his M.Sc. degree in Computer Science and in Electrical Engineering and Information Technology with focus on automation systems from Technische Universität Darmstadt in 2019.
His research topics include reinforcement learning, game theory and mean field games. In particular, he is interested in new, scalable solutions for multi-agent problems. Possible applications could include learning drone swarm behaviour such as indoor exploration, or analyzing vaccination strategies.
Publications
Cui, Kai ; Koeppl, Heinz (2021):
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning.
24th International Conference on Artificial Intelligence and Statistics, Virtual Conference, 13.-15.04.2021, [Conference or Workshop Item]
Student Projects
|
Lalith Kishore Sai Macherla Sathish (Master thesis) |
Hierarchical Reinforcement Learning for Object Transportation via Morphological Drone Swarms |
running (~12/2021) |
|
Oliver-Maximilian Klein (Bachelor thesis) |
Reinforcement Learning for Mean Field Control with Environmental States |
running (~11/2021) |
|
Ruikang Sun (Master thesis) |
Estimation of Mean Field Models and Bayesian Reinforcement Learning |
running (~11/2021) |
|
Dongxu Wang (Master thesis) |
Multi-agent Reinforcement Learning and Consensus Algorithms |
running (~11/2021) |
|
Simon Schwab (Bachelor thesis) |
Morphological Control for Mid-Air Self-Assembled Drone Structures |
running (~10/2021) |
|
Davi Klein Spindola (Bachelor thesis) |
End-to-End Reinforcement Learning for Low-Level Control of Quadcopters |
running (~09/2021) |
|
Alexandre Knihar (Bachelor thesis) |
Depth Estimation and 3D Reconstruction for Micro Aerial Vehicles | 06/2021 |
|
Tizian Claus Dege (Bachelor thesis) |
Neural Face Detection on Micro Aerial Vehicles | 04/2021 |
|
David Askari-Badouee (Bachelor thesis) |
Decentralised Assembly of Drone Morphologies for Large Object Transportation | 03/2021 |
|
Berk Calabakan (Bachelor thesis) |
Mid-Air Self-Assembling Drone Swarms | 03/2021 |
|
Jiean Yan (Master thesis) |
Performance Comparison of Quadcopter Collision Avoidance Algorithms | 01/2021 |
|
Shouran Mu (Master thesis) |
Potential and Rotational Flows for Collision-Free Drone Swarm Maneuvers | 12/2020 |
|
Ramzi Ourari (Master thesis) |
Multiagent Collision Avoidance in Drone Swarms via Deep Reinforcement Learning | 11/2020 |
|
Hongjing Tang (Master thesis) |
Low-Level Control of Quadcopters via Reinforcement and Imitation Learning | 11/2020 |
|
João Victor Stahl Mosz (Master thesis) |
Performance Evaluation of Different Low-Level Quadcopter Control Algorithms | 09/2020 |
Possible Student Projects you can find here.