David Biagioni

Orcid: 0000-0001-6140-1957

According to our database1, David Biagioni authored at least 19 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Plug & play directed evolution of proteins with gradient-based discrete MCMC.
Mach. Learn. Sci. Technol., June, 2023

Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Two-Stage Reinforcement Learning Policy Search for Grid-Interactive Building Control.
IEEE Trans. Smart Grid, 2022

A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem.
IEEE Trans. Intell. Transp. Syst., 2022

Multi-objective goal-directed optimization of de novo stable organic radicals for aqueous redox flow batteries.
Nat. Mach. Intell., 2022

graphenv: a Python library for reinforcement learning on graph search spaces.
J. Open Source Softw., 2022

Learning-Accelerated ADMM for Distributed DC Optimal Power Flow.
IEEE Control. Syst. Lett., 2022

From Model-Based to Model-Free: Learning Building Control for Demand Response.
CoRR, 2022

PowerGridworld: a framework for multi-agent reinforcement learning in power systems.
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.
IEEE Trans. Smart Grid, 2021

A Comparison of Model-Free and Model Predictive Control for Price Responsive Water Heaters.
CoRR, 2021

A Cyber-Physical System for Freeway Ramp Meter Signal Control Using Deep Reinforcement Learning in a Connected Environment.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020
On the Computational Viability of Quantum Optimization for PMU Placement.
CoRR, 2020

Cooperative Load Scheduling for Multiple Aggregators Using Hierarchical ADMM.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

2019
Learning-Accelerated ADMM for Distributed Optimal Power Flow.
CoRR, 2019

Distributed Reinforcement Learning with ADMM-RL.
Proceedings of the 2019 American Control Conference, 2019

2017
IGMS: An Integrated ISO-to-Appliance Scale Grid Modeling System.
IEEE Trans. Smart Grid, 2017

2015
Randomized interpolative decomposition of separated representations.
J. Comput. Phys., 2015

2013
On Rank Reduction of Separated Representations.
CoRR, 2013


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