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Siyi Hu

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#artificial intelligence Preprint Oct 2026

Cooperating with Future Collaborators: Multi-Agent RL under Staggered Participation

In cooperative Multi-Agent Reinforcement Learning (MARL), agents are often trained under concurrent participation, while in many tasks some agents act earlier and leave task-relevant information that becomes useful to agents participating later. We study this setting as staggered participation (SP), which introduces a...

Jiang-Lin Qiao, Si-Yi Hu, Thien Hoang Nguyen et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Can We Trust the Teacher? Decoupled Credit Direction-Magnitude for Self-Distillation

Decoupled Credit Self-Distillation is introduced, which theoretically decouples credit direction and magnitude into two reliable signals and uses them to calibrate privileged teacher supervision, enabling step-to-token credit assignment for policy optimization.

Yu-Gu Li, Ze-Hong Cao, Pei-Zhen Li et al. · 0 citations
Jul 2026

3D Scene Graph Prediction: Generating Hierarchical Models from Partially Observed Environments

This paper proposes a top-down framework for synthesizing hierarchical 3D scene graphs, including a room layer -- describing the floor plan and traversability -- and an object layer modeling object layouts within each room, and proposes a novel mixed-domain graph diffusion model jointly predicting room categories, floo...

Siyi Hu, Jared Strader, Hyungtae Lim et al. · 0 citations

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