Search Results for author: Han-Ching Ou

Found 3 papers, 1 papers with code

Contingency-Aware Influence Maximization: A Reinforcement Learning Approach

1 code implementation13 Jun 2021 Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, Milind Tambe

Empirical results show that our method achieves influence as high as the state-of-the-art methods for contingency-aware IM, while having negligible runtime at test phase.

Combinatorial Optimization reinforcement-learning +1

Active Screening for Recurrent Diseases: A Reinforcement Learning Approach

no code implementations7 Jan 2021 Han-Ching Ou, Haipeng Chen, Shahin Jabbari, Milind Tambe

However, given the limited number of health workers, only a small subset of the population can be visited in any given time period.

Combinatorial Optimization reinforcement-learning +1

Networked Restless Multi-Armed Bandits for Mobile Interventions

no code implementations28 Jan 2022 Han-Ching Ou, Christoph Siebenbrunner, Jackson Killian, Meredith B Brooks, David Kempe, Yevgeniy Vorobeychik, Milind Tambe

Motivated by a broad class of mobile intervention problems, we propose and study restless multi-armed bandits (RMABs) with network effects.

Multi-Armed Bandits

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