CPS Computational Learning Laboratory
Please Log In
Journal Club
Presentation 11: QingheDong - 2025.01.20
Description: Distributed Multi-agent Reinforcement Learning.
Presentation 10: ZhichengChen - 2025.01.09
Description: Gradient-based acceleration for federated learning convergence.
Presentation 9: JinghaoLiu - 2024.12.25
Description: Design of Distributed Filter Based on Linear Matrix Inequality.
Presentation 8: Junnan He - 2024.12.13
Description: Multi-view representation learning based on information bottleneck.
Presentation 7: Ruichong Ma - 2024.11.28
Description: Dynamic multi objective job shop scheduling based on reinforcement learning.
Presentation 6: Jinyi Liu - 2024.11.14
Description: Improve Sample Efficiency in Multi-agent Reinforcement Learning by Exploration.
Presentation 5: Mohan Niu - 2024.10.31
Description: Efficient Representation of Multi-Agent State Spaces.
Presentation 4: Junzhu Duan - 2024.10.17
Description: Object Detection Based on Multi-source Domain Adaptation.
Presentation 3: Xuqiang Chen - 2024.10.04
Description: Modeling in Heterogeneous Federated Environments: Overviews and Methods.
Presentation 2: Junnuo Lin - 2024.09.20
Description: Modeling in Federated Graph Neural Networks: Overview and Techniques.
Presentation 1: Jiarong Du - 2024.09.05
Description: Solving Flexible Job-Shop Scheduling Problem (FJSP ) based on graph neural network and deep reinforcement learning.