BayesG learns dynamic sparse interaction structures via Bayesian variational inference on ego-graphs for decentralized networked MARL, showing better performance than baselines on traffic control with up to 167 agents.
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Bayesian Ego-graph Inference for Networked Multi-Agent Reinforcement Learning
BayesG learns dynamic sparse interaction structures via Bayesian variational inference on ego-graphs for decentralized networked MARL, showing better performance than baselines on traffic control with up to 167 agents.