Q-Ising integrates Bayesian dynamic Ising modeling with offline RL to enable adaptive network treatment policies that outperform static centrality benchmarks under spillovers.
Proceedings of the 36th International Conference on Machine Learning (
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Dynamic Treatment on Networks
Q-Ising integrates Bayesian dynamic Ising modeling with offline RL to enable adaptive network treatment policies that outperform static centrality benchmarks under spillovers.