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Title: Distributed Reinforcement Learning with ADMM-RL

Abstract

NREL researcher Peter Graf discusses distributed reinforcement learning with ADMM-RL as part of the Innovative Optimization and Control Methods for Highly Distributed Autonomous Systems workshop. NREL hosted the workshop to exchange ideas on state-of-the-art control and optimization strategies as well as get feedback on work being done at NREL.

Authors:
 [1];  [1]; ORCiD logo [1];  [1];  [1];  [1];  [1];  [1]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE National Renewable Energy Laboratory (NREL), Laboratory Directed Research and Development (LDRD) Program
OSTI Identifier:
1563138
Report Number(s):
NREL/PR-2C00-74798
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the Innovative Optimization and Control Methods for Highly Distributed Autonomous Systems Workshop, 11-12 April 2019, Golden, Colorado
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; non-linear systems; AI control strategy; time horizons; online optimization

Citation Formats

Graf, Peter A, Annoni, Jen, Bay, Christopher, Sigler, Devon, Biagioni, David J, Lunacek, Monte S, Bernstein, Andrey, and Jones, Wesley B. Distributed Reinforcement Learning with ADMM-RL. United States: N. p., 2019. Web.
Graf, Peter A, Annoni, Jen, Bay, Christopher, Sigler, Devon, Biagioni, David J, Lunacek, Monte S, Bernstein, Andrey, & Jones, Wesley B. Distributed Reinforcement Learning with ADMM-RL. United States.
Graf, Peter A, Annoni, Jen, Bay, Christopher, Sigler, Devon, Biagioni, David J, Lunacek, Monte S, Bernstein, Andrey, and Jones, Wesley B. Mon . "Distributed Reinforcement Learning with ADMM-RL". United States. https://www.osti.gov/servlets/purl/1563138.
@article{osti_1563138,
title = {Distributed Reinforcement Learning with ADMM-RL},
author = {Graf, Peter A and Annoni, Jen and Bay, Christopher and Sigler, Devon and Biagioni, David J and Lunacek, Monte S and Bernstein, Andrey and Jones, Wesley B},
abstractNote = {NREL researcher Peter Graf discusses distributed reinforcement learning with ADMM-RL as part of the Innovative Optimization and Control Methods for Highly Distributed Autonomous Systems workshop. NREL hosted the workshop to exchange ideas on state-of-the-art control and optimization strategies as well as get feedback on work being done at NREL.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {9}
}

Conference:
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