SPEAKERS/GAURAV AGGARWAL
Gaurav Aggarwal

Gaurav Aggarwal

Google Inc.

Gaurav's lectures

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Multiple speakers · AAMAS 2021

F6 - Cohorting to Isolate Asymptomatic Spreaders: An Agent-Based Simulation Study on the Mumbai Suburban Railway

Read the paper:

http://www.ifaamas.org/Proceedings/aamas2021/pdfs/p1680.pdf

Chat about this paper on Discord:

https://discord.com/channels/827790531085336607/833050857322446858

Abstract:

This paper studies cohorting in public transit systems and its usefulness in mitigating disease transmission. The Mumbai suburban railway system is used as a case study.

lecture cover

Multiple speakers · AAMAS 2021

E6 - Learning Index Policies for Restless Bandits with Application to Maternal Healthcare

Read the paper:

http://www.ifaamas.org/Proceedings/aamas2021/pdfs/p1467.pdf

Chat about this paper on Discord:

https://discord.com/channels/827790531085336607/833033198061355038

Abstract:

In many community health settings, it is crucial to have a systematic monitoring and intervention process to ensure that the patients adhere to healthcare programs, such as periodic health checks or taking medications. When these interventions are expensive, they can be provided to only a fixed small fraction of the patients at any period of time. Hence, it is important to carefully choose the beneficiaries who should be provided with interventions and when. We model this scenario as a restless multi-armed bandit (RMAB) problem, where each beneficiary is assumed to transition from one state to another depending on the intervention provided to them. In practice, the transition probabilities are unknown a priori, and hence, we propose a mechanism for the problem of balancing the explore-exploit trade-off. Empirically, we find that our proposed mechanism outperforms the baseline intervention scheme maternal healthcare dataset.

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