Work

Modeling and Simulating Adaptation Strategies Against Sea-Level Rise Using Multiagent Deep Reinforcement Learning

Year: 2021

Type: article

Source: IEEE Transactions on Computational Social Systems

DOI: 10.1109/tcss.2021.3122282

Authors: Salman Sadiq Shuvo, Yasin Yilmaz, Alan Bush, Mark Hafen

Institution: University of South Florida

Language: English

Topic: Coastal and Marine Dynamics

Subfield: Earth-Surface Processes

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDGs: Climate action, Sustainable cities and communities

Open Access status: closed

Funder: National Science Foundation

Award: SCC-Planning: Agent-based Scenario Planning for a Smart & Connected Community against Sea Level Rise in Tampa Bay

OpenAlex ID: W3209177686

FWCI: 2.241

Cites: 30

Cited by: 24

Related to: 10