Fingerprint Networked Reinforcement Learning via Multiagent Modeling for Improving Decision Making in an Urban Food–Energy

Fingerprint Networked Reinforcement Learning via Multiagent Modeling for Improving Decision Making in an Urban Food–Energy–Water Nexus

Author:

Zhang Wei¹^ORCID,Valencia Andrea²^ORCID,Chang Ni-Bin²^ORCID

Affiliation:

1. R&D Division, Operation Technology (ETAP), Irvine, CA, USA

2. Department of Civil, Environmental, Construction Engineering, University of Central Florida, Orlando, FL, USA

Funder

National Science Function

Florida Department of Environmental Protection

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Link

Reference36 articles.

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