David Biagioni

According to our database, David Biagioni authored at least 21 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Comparative analysis of grid-interactive building control algorithms: From model-based to learning-based approaches.

David Biagioni, Xiangyu Zhang, Christiane Adcock, Michael N. Sinner, Peter A. Graf, Jennifer King

Eng. Appl. Artif. Intell., 2024

Generation Expansion Equilibria with Predictive Dispatch Model.

Sourabh Dalvi, David Biagioni, Muhammad Bashar Anwar, Gord Stephen, Bethany Frew

CoRR, 2024

2023

Plug & play directed evolution of proteins with gradient-based discrete MCMC.

Patrick Emami, Aidan Perreault, Jeffrey N. Law, David Biagioni, Peter C. St. John

Mach. Learn. Sci. Technol., June, 2023

Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning.

Patrick Emami, Xiangyu Zhang, David Biagioni, Ahmed S. Zamzam

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Two-Stage Reinforcement Learning Policy Search for Grid-Interactive Building Control.

Xiangyu Zhang, Yue Chen, Andrey Bernstein, Rohit Chintala, Peter A. Graf, Xin Jin, David Biagioni

IEEE Trans. Smart Grid, 2022

A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem.

Erotokritos Skordilis, Yi Hou, Charles Edison Tripp, Matthew Moniot, Peter A. Graf, David Biagioni

IEEE Trans. Intell. Transp. Syst., 2022

Multi-objective goal-directed optimization of de novo stable organic radicals for aqueous redox flow batteries.

Shree Sowndarya S. V., Jeffrey N. Law, Charles Edison Tripp, Dmitry Duplyakin, Erotokritos Skordilis, David Biagioni, Robert S. Paton, Peter C. St. John

Nat. Mach. Intell., 2022

graphenv: a Python library for reinforcement learning on graph search spaces.

David Biagioni, Charles Edison Tripp, Struan Clark, Dmitry Duplyakin, Jeffrey N. Law, Peter C. St. John

J. Open Source Softw., 2022

Learning-Accelerated ADMM for Distributed DC Optimal Power Flow.

David Biagioni, Peter A. Graf, Xiangyu Zhang, Ahmed S. Zamzam, Kyri Baker, Jennifer King

IEEE Control. Syst. Lett., 2022

From Model-Based to Model-Free: Learning Building Control for Demand Response.

David Biagioni, Xiangyu Zhang, Christiane Adcock, Michael N. Sinner, Peter A. Graf, Jennifer King

CoRR, 2022

PowerGridworld: a framework for multi-agent reinforcement learning in power systems.

David Biagioni, Xiangyu Zhang, Dylan Wald, Deepthi Vaidhynathan, Rohit Chintala, Jennifer King, Ahmed S. Zamzam

Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

2021

An Edge-Cloud Integrated Solution for Buildings Demand Response Using Reinforcement Learning.

Xiangyu Zhang, Dave Biagioni, Mengmeng Cai, Peter A. Graf, Saifur Rahman

IEEE Trans. Smart Grid, 2021

A Comparison of Model-Free and Model Predictive Control for Price Responsive Water Heaters.

David J. Biagioni, Xiangyu Zhang, Peter A. Graf, Devon Sigler, Wesley B. Jones

CoRR, 2021

A Cyber-Physical System for Freeway Ramp Meter Signal Control Using Deep Reinforcement Learning in a Connected Environment.

Yi Hou, Xiangyu Zhang, Peter A. Graf, Charles Edison Tripp, David Biagioni

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020

On the Computational Viability of Quantum Optimization for PMU Placement.

Eric B. Jones, Eliot Kapit, Chin-Yao Chang, David Biagioni, Deepthi Vaidhynathan, Peter A. Graf, Wesley B. Jones

CoRR, 2020

Cooperative Load Scheduling for Multiple Aggregators Using Hierarchical ADMM.

Xiangyu Zhang, Dave Biagioni, Peter A. Graf, Jennifer King

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

2019

Learning-Accelerated ADMM for Distributed Optimal Power Flow.

Dave Biagioni, Peter A. Graf, Xiangyu Zhang, Jennifer King

CoRR, 2019

Distributed Reinforcement Learning with ADMM-RL.

Peter A. Graf, Jennifer Annoni, Christopher J. Bay, David Biagioni, Devon Sigler, Monte Lunacek, Wesley B. Jones

Proceedings of the 2019 American Control Conference, 2019

2017

IGMS: An Integrated ISO-to-Appliance Scale Grid Modeling System.

Bryan Palmintier, Elaine T. Hale, Timothy M. Hansen, Wesley B. Jones, David Biagioni, Harry Sorensen, Hongyu Wu, Bri-Mathias S. Hodge

IEEE Trans. Smart Grid, 2017

2015

Randomized interpolative decomposition of separated representations.

David J. Biagioni, Daniel J. Beylkin, Gregory Beylkin

J. Comput. Phys., 2015

2013

On Rank Reduction of Separated Representations.

David J. Biagioni, Daniel J. Beylkin, Gregory Beylkin

CoRR, 2013