Guannan Qu

Assistant Professor, Carnegie Mellon University

2 papers at NeurIPS 2025

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Poster Session 3

1 paper

Thursday, December 4, 2025 · 11:00 AM → 2:00 PM

Exhibit Hall C,D,E

Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning

#3207 Spotlight · Emile Timothy Anand, Ishani Karmarkar, Guannan Qu

We develop and analyze a scalable algorithm for multi-agent RL by sampling from the mean-field distribution of the agents to overcome the curse of dimensionality.

Poster Session 4

1 paper

Thursday, December 4, 2025 · 4:30 PM → 7:30 PM

Exhibit Hall C,D,E

Stabilizing LTI Systems under Partial Observability: Sample Complexity and Fundamental Limits

#3012 · Ziyi Zhang, Yorie Nakahira, Guannan Qu

We design a novel algorithm to stabilize an unknown partially observable LTI system with a complexity bound independent of the state dimension.