Junyu Xuan

Assistant Professor, University of Technology Sydney

1 paper at NeurIPS 2025

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Poster Session 4

1 paper

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

Exhibit Hall C,D,E

Bayesian Ego-graph inference for Networked Multi-Agent Reinforcement Learning

#308 · Wei Duan, Jie Lu, Junyu Xuan

We propose BayesG, a decentralized actor–critic framework that jointly learns context-aware interaction graphs and policies via variational Bayesian inference over ego-graphs in large-scale networked MARL.