On Rank Reduction of Separated Representations. - David J. Biagioni; Daniel J. Beylkin; Gregory Beylkin (CoRR, 2013)

Randomized interpolative decomposition of separated representations. - David J. Biagioni; Daniel J. Beylkin; Gregory Beylkin (J. Comput. Phys., 2015)

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)

Distributed Reinforcement Learning with ADMM-RL. - Peter A. Graf; Jennifer Annoni; Christopher J. Bay; David Biagioni; Devon Sigler; Monte Lunacek; Wesley B. Jones (ACC, 2019)

Learning-Accelerated ADMM for Distributed Optimal Power Flow. - Dave Biagioni; Peter A. Graf; Xiangyu Zhang 010; Jennifer King (CoRR, 2019)

Cooperative Load Scheduling for Multiple Aggregators Using Hierarchical ADMM. - Xiangyu Zhang 010; Dave Biagioni; Peter A. Graf; Jennifer King (ISGT, 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)

A Cyber-Physical System for Freeway Ramp Meter Signal Control Using Deep Reinforcement Learning in a Connected Environment. - Yi Hou; Xiangyu Zhang 010; Peter A. Graf; Charles Edison Tripp; David Biagioni (ITSC, 2021)

A Comparison of Model-Free and Model Predictive Control for Price Responsive Water Heaters. - David J. Biagioni; Xiangyu Zhang 010; Peter A. Graf; Devon Sigler; Wesley B. Jones (CoRR, 2021)

An Edge-Cloud Integrated Solution for Buildings Demand Response Using Reinforcement Learning. - Xiangyu Zhang 010; Dave Biagioni; Mengmeng Cai; Peter A. Graf; Saifur Rahman 001 (IEEE Trans. Smart Grid, 2021)

PowerGridworld: a framework for multi-agent reinforcement learning in power systems. - David Biagioni; Xiangyu Zhang 010; Dylan Wald; Deepthi Vaidhynathan; Rohit Chintala; Jennifer King; Ahmed S. Zamzam (e-Energy, 2022)

From Model-Based to Model-Free: Learning Building Control for Demand Response. - David Biagioni; Xiangyu Zhang 010; Christiane Adcock; Michael N. Sinner; Peter A. Graf; Jennifer King (CoRR, 2022)

Learning-Accelerated ADMM for Distributed DC Optimal Power Flow. - David Biagioni; Peter A. Graf; Xiangyu Zhang 010; Ahmed S. Zamzam; Kyri Baker; Jennifer King (IEEE Control. Syst. Lett., 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)

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)

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)

Two-Stage Reinforcement Learning Policy Search for Grid-Interactive Building Control. - Xiangyu Zhang 010; Yue Chen; Andrey Bernstein; Rohit Chintala; Peter A. Graf; Xin Jin 016; David Biagioni (IEEE Trans. Smart Grid, 2022)

Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning. - Patrick Emami; Xiangyu Zhang 010; David Biagioni; Ahmed S. Zamzam (CDC, 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., 2023)

Generation Expansion Equilibria with Predictive Dispatch Model. - Sourabh Dalvi; David Biagioni; Muhammad Bashar Anwar; Gord Stephen; Bethany Frew (CoRR, 2024)

Comparative analysis of grid-interactive building control algorithms: From model-based to learning-based approaches. - David Biagioni; Xiangyu Zhang 010; Christiane Adcock; Michael N. Sinner; Peter A. Graf; Jennifer King (Eng. Appl. Artif. Intell., 2024)