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cs.MA2025
H2-MARL: Multi-Agent Reinforcement Learning for Pareto Optimality in Hospital Capacity Strain and Human Mobility during Epidemic
Xueting Luo, Hao Deng, Jihong Yang +6
The necessity of achieving an effective balance between minimizing the losses associated with restricting human mobility and ensuring hospital capacity has gained significant atten…
cs.LG2025
PVBF: A Framework for Mitigating Parameter Variation Imbalance in Online Continual Learning
Zelin Tao, Hao Deng, Mingqing Liu +2
Online continual learning (OCL), which enables AI systems to adaptively learn from non-stationary data streams, is commonly achieved using experience replay (ER)-based methods that…
cs.CV2025
Learning from Rendering: Realistic and Controllable Extreme Rainy Image Synthesis for Autonomous Driving Simulation
Kaibin Zhou, Kaifeng Huang, Hao Deng +4
Autonomous driving simulators provide an effective and low-cost alternative for evaluating or enhancing visual perception models. However, the reliability of evaluation depends on…