activity
20172026
most citedTraining Shallow and Thin Networks for Acceleration via Knowledge Distillation with Conditional Adversarial Networks

26 citations · 39 across the 21 of their papers we have counts for

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Showing 2024Show all

3 papers · 1 filter

cs.DC2024

Dual UAV Cluster-Assisted Maritime Physical Layer Secure Communications via Collaborative Beamforming

Jiawei Huang, Aimin Wang, Geng Sun +4

Unmanned aerial vehicles (UAVs) can be utilized as relay platforms to assist maritime wireless communications. However, complex channels and multipath effects at sea can adversely…

cs.LG2024★ 1 cited

Learning to Steer Markovian Agents under Model Uncertainty

Jiawei Huang, Vinzenz Thoma, Zebang Shen +2

Designing incentives for an adapting population is a ubiquitous problem in a wide array of economic applications and beyond. In this work, we study how to design additional rewards…

cs.LG2024

Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RL

Jiawei Huang, Niao He, Andreas Krause

We study the sample complexity of reinforcement learning (RL) in Mean-Field Games (MFGs) with model-based function approximation that requires strategic exploration to find a Nash…