Cui, Kai

13 publications

AAAI 2025 Bounded Rationality Equilibrium Learning in Mean Field Games Yannick Eich, Christian Fabian, Kai Cui, Heinz Koeppl

ICML 2025 Learning Mean Field Control on Sparse Graphs Christian Fabian, Kai Cui, Heinz Koeppl

TMLR 2025 Mean-Field RL for Large-Scale Unit-Capacity Pickup-and-Delivery Problems Kai Cui, Sharif Azem, Christian Fabian, Kirill Kuroptev, Ramin Khalili, Osama Abboud, Florian Steinke, Heinz Koeppl

ICLR 2024 Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior Kai Cui, Sascha H. Hauck, Christian Fabian, Heinz Koeppl

AAAI 2024 Learning Discrete-Time Major-Minor Mean Field Games Kai Cui, Gökçe Dayanikli, Mathieu Laurière, Matthieu Geist, Olivier Pietquin, Heinz Koeppl

ICLR 2024 Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach Christian Fabian, Kai Cui, Heinz Koeppl

ICML 2024 Major-Minor Mean Field Multi-Agent Reinforcement Learning Kai Cui, Christian Fabian, Anam Tahir, Heinz Koeppl

ICMLW 2024 Partially Observable Multi-Agent Reinforcement Learning Using Mean Field Control Kai Cui, Sascha H. Hauck, Christian Fabian, Heinz Koeppl

AISTATS 2023 Learning Sparse Graphon Mean Field Games Christian Fabian, Kai Cui, Heinz Koeppl

ICLR 2022 Learning Graphon Mean Field Games and Approximate Nash Equilibria Kai Cui, Heinz Koeppl

AISTATS 2021 Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning Kai Cui, Heinz Koeppl

CVPRW 2019 Decoder Side Color Image Quality Enhancement Using a Wavelet Transform Based 3-Stage Convolutional Neural Network Kai Cui, Eckehard G. Steinbach

CVPRW 2018 Decoder Side Image Quality Enhancement Exploiting Inter-Channel Correlation in a 3-Stage CNN: Submission to CLIC 2018 Kai Cui, Eckehard G. Steinbach