Synthesizing Decentralized Controllers With Graph Neural Networks and Imitation Learning

Author:

Gama Fernando1ORCID,Li Qingbiao2ORCID,Tolstaya Ekaterina3,Prorok Amanda2ORCID,Ribeiro Alejandro3ORCID

Affiliation:

1. Department of Computer and Electrical Engineering, Rice University, Houston, TX, USA

2. Department of Computer Science and Technology, Cambridge University, Cambridge, U.K.

3. Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA

Funder

Engineering and Physical Sciences Research Council

ARL DCIST CRA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Reference59 articles.

1. The holy grail of multi-robot planning: Learning to generate online-scalable solutions from offline-optimal experts;prorok,2021

2. Random search for hyper-parameter optimization;bergstra;J Mach Learn Res,2012

3. Connecting the Dots: Identifying Network Structure via Graph Signal Processing

4. Rethinking sketching as sampling: A graph signal processing approach

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