David Biagioni

20 papers C 2Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
Comparative analysis of grid-interactive building control algorithms: From model-based to learning-based approaches.
Eng. Appl. Artif. Intell.
David Biagioni, Xiangyu Zhang, Christiane Adcock, Michael N. Sinner, Peter A. Graf, Jennifer King
2024 J jnl
Generation Expansion Equilibria with Predictive Dispatch Model.
CoRR
Sourabh Dalvi, David Biagioni, Muhammad Bashar Anwar, Gord Stephen, Bethany Frew
2023 — conf
Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning.
CDC
Patrick Emami, Xiangyu Zhang, David Biagioni, Ahmed S. Zamzam
2023 J jnl
Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning.
CoRR
Patrick Emami, Xiangyu Zhang, David Biagioni, Ahmed S. Zamzam
2023 J jnl
Plug & play directed evolution of proteins with gradient-based discrete MCMC.
Mach. Learn. Sci. Technol.
Patrick Emami, Aidan Perreault, Jeffrey N. Law, David Biagioni, Peter C. St. John
2022 J jnl
A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem.
IEEE Trans. Intell. Transp. Syst.
Erotokritos Skordilis, Yi Hou, Charles Edison Tripp, Matthew Moniot, Peter A. Graf, David Biagioni
2022 J jnl
From Model-Based to Model-Free: Learning Building Control for Demand Response.
CoRR
David Biagioni, Xiangyu Zhang, Christiane Adcock, Michael N. Sinner, Peter A. Graf, Jennifer King
2022 J jnl
Learning-Accelerated ADMM for Distributed DC Optimal Power Flow.
IEEE Control. Syst. Lett.
David Biagioni, Peter A. Graf, Xiangyu Zhang, Ahmed S. Zamzam, Kyri Baker, Jennifer King
2022 J jnl
Multi-objective goal-directed optimization of de novo stable organic radicals for aqueous redox flow batteries.
Nat. Mach. Intell.
Shree Sowndarya S. V., Jeffrey N. Law, Charles Edison Tripp, Dmitry Duplyakin, Erotokritos Skordilis, David Biagioni, Robert S. Paton, Peter C. St. John
2022 J jnl
Plug & Play Directed Evolution of Proteins with Gradient-based Discrete MCMC.
CoRR
Patrick Emami, Aidan Perreault, Jeffrey N. Law, David Biagioni, Peter C. St. John
2022 — conf
PowerGridworld: a framework for multi-agent reinforcement learning in power systems.
e-Energy
David Biagioni, Xiangyu Zhang, Dylan Wald, Deepthi Vaidhynathan, Rohit Chintala, Jennifer King, Ahmed S. Zamzam
2022 J jnl
Two-Stage Reinforcement Learning Policy Search for Grid-Interactive Building Control.
IEEE Trans. Smart Grid
Xiangyu Zhang, Yue Chen, Andrey Bernstein, Rohit Chintala, Peter A. Graf, Xin Jin, David Biagioni
2022 J jnl
graphenv: a Python library for reinforcement learning on graph search spaces.
J. Open Source Softw.
David Biagioni, Charles Edison Tripp, Struan Clark, Dmitry Duplyakin, Jeffrey N. Law, Peter C. St. John
2021 — conf
A Cyber-Physical System for Freeway Ramp Meter Signal Control Using Deep Reinforcement Learning in a Connected Environment.
ITSC
Yi Hou, Xiangyu Zhang, Peter A. Graf, Charles Edison Tripp, David Biagioni
2021 J jnl
A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem.
CoRR
Erotokritos Skordilis, Yi Hou, Charles Edison Tripp, Matthew Moniot, Peter A. Graf, David Biagioni
2021 C conf
Learning-Accelerated ADMM for Distributed DC Optimal Power Flow.
ACC
David Biagioni, Peter A. Graf, Xiangyu Zhang, Ahmed S. Zamzam, Kyri Baker, Jennifer King
2021 J jnl
PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems.
CoRR
David Biagioni, Xiangyu Zhang, Dylan Wald, Deepthi Vaidhynathan, Rohit Chintala, Jennifer King, Ahmed S. Zamzam
2020 J jnl
On the Computational Viability of Quantum Optimization for PMU Placement.
CoRR
Eric B. Jones, Eliot Kapit, Chin-Yao Chang, David Biagioni, Deepthi Vaidhynathan, Peter A. Graf, Wesley B. Jones
2019 C conf
Distributed Reinforcement Learning with ADMM-RL.
ACC
Peter A. Graf, Jennifer Annoni, Christopher J. Bay, David Biagioni, Devon Sigler, Monte Lunacek, Wesley B. Jones
2017 J jnl
IGMS: An Integrated ISO-to-Appliance Scale Grid Modeling System.
IEEE Trans. Smart Grid
Bryan Palmintier, Elaine T. Hale, Timothy M. Hansen, Wesley B. Jones, David Biagioni, Harry Sorensen, Hongyu Wu, Bri-Mathias S. Hodge