David Biagioni

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Reinforcement Learning

Optimal Power Flow

Top Venues

IEEE Trans. Smart Grid

IEEE Control. Syst. Lett.

Publications

Sourabh Dalvi, David Biagioni, Muhammad Bashar Anwar, Gord Stephen, Bethany Frew
Generation Expansion Equilibria with Predictive Dispatch Model. CoRR (2024)
David Biagioni, Xiangyu Zhang, Christiane Adcock, Michael N. Sinner, Peter A. Graf, Jennifer King
Comparative analysis of grid-interactive building control algorithms: From model-based to learning-based approaches. Eng. Appl. Artif. Intell. 133 (2024)
Patrick Emami, Aidan Perreault, Jeffrey N. Law, David Biagioni, Peter C. St. John
Plug & play directed evolution of proteins with gradient-based discrete MCMC. Mach. Learn. Sci. Technol. 4 (2) (2023)
Patrick Emami, Xiangyu Zhang, David Biagioni, Ahmed S. Zamzam
Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning. CDC (2023)
Patrick Emami, Xiangyu Zhang, David Biagioni, Ahmed S. Zamzam
Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning. CoRR (2023)
Xiangyu Zhang, Yue Chen, Andrey Bernstein, Rohit Chintala, Peter A. Graf, Xin Jin, David Biagioni
Two-Stage Reinforcement Learning Policy Search for Grid-Interactive Building Control. IEEE Trans. Smart Grid 13 (3) (2022)
Erotokritos Skordilis, Yi Hou, Charles Edison Tripp, Matthew Moniot, Peter A. Graf, David Biagioni
A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
David Biagioni, Charles Edison Tripp, Struan Clark, Dmitry Duplyakin, Jeffrey N. Law, Peter C. St. John
graphenv: a Python library for reinforcement learning on graph search spaces. J. Open Source Softw. 7 (78) (2022)
David Biagioni, Xiangyu Zhang, Dylan Wald, Deepthi Vaidhynathan, Rohit Chintala, Jennifer King, Ahmed S. Zamzam
PowerGridworld: a framework for multi-agent reinforcement learning in power systems. e-Energy (2022)
Shree Sowndarya S. V., Jeffrey N. Law, Charles Edison Tripp, Dmitry Duplyakin, Erotokritos Skordilis, David Biagioni, Robert S. Paton, Peter C. St. John
Multi-objective goal-directed optimization of de novo stable organic radicals for aqueous redox flow batteries. Nat. Mach. Intell. 4 (8) (2022)
Patrick Emami, Aidan Perreault, Jeffrey N. Law, David Biagioni, Peter C. St. John
Plug & Play Directed Evolution of Proteins with Gradient-based Discrete MCMC. CoRR (2022)
David Biagioni, Peter A. Graf, Xiangyu Zhang, Ahmed S. Zamzam, Kyri Baker, Jennifer King
Learning-Accelerated ADMM for Distributed DC Optimal Power Flow. IEEE Control. Syst. Lett. 6 (2022)
David Biagioni, Xiangyu Zhang, Christiane Adcock, Michael N. Sinner, Peter A. Graf, Jennifer King
From Model-Based to Model-Free: Learning Building Control for Demand Response. CoRR (2022)
David Biagioni, Peter A. Graf, Xiangyu Zhang, Ahmed S. Zamzam, Kyri Baker, Jennifer King
Learning-Accelerated ADMM for Distributed DC Optimal Power Flow. ACC (2021)
David Biagioni, Xiangyu Zhang, Dylan Wald, Deepthi Vaidhynathan, Rohit Chintala, Jennifer King, Ahmed S. Zamzam
PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems. CoRR (2021)
Erotokritos Skordilis, Yi Hou, Charles Tripp, Matthew Moniot, Peter A. Graf, David Biagioni
A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem. CoRR (2021)
Yi Hou, Xiangyu Zhang, Peter A. Graf, Charles Tripp, David Biagioni
A Cyber-Physical System for Freeway Ramp Meter Signal Control Using Deep Reinforcement Learning in a Connected Environment. ITSC (2021)
Eric B. Jones, Eliot Kapit, Chin-Yao Chang, David Biagioni, Deepthi Vaidhynathan, Peter A. Graf, Wesley B. Jones
On the Computational Viability of Quantum Optimization for PMU Placement. CoRR (2020)
Peter A. Graf, Jennifer Annoni, Christopher J. Bay, David Biagioni, Devon Sigler, Monte Lunacek, Wesley B. Jones
Distributed Reinforcement Learning with ADMM-RL. ACC (2019)
Bryan Palmintier, Elaine Hale, Timothy M. Hansen, Wesley B. Jones, David Biagioni, Harry Sorensen, Hongyu Wu, Bri-Mathias S. Hodge
IGMS: An Integrated ISO-to-Appliance Scale Grid Modeling System. IEEE Trans. Smart Grid 8 (3) (2017)