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

P. Emami, X. Zhang, D. Biagioni, and A. Zamzam. CDC, page 2372-2378. IEEE, (2023)

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Wahyudi David

Florian Bodo David

Jens-Ulrich Davids

Joachim David

Heinz David

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A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem.E. Skordilis, Y. Hou, C. Tripp, M. Moniot, P. Graf, and D. Biagioni. IEEE Trans. Intell. Transp. Syst., 23 (8): 11903-11916 (2022)Two-Stage Reinforcement Learning Policy Search for Grid-Interactive Building Control.X. Zhang, Y. Chen, A. Bernstein, R. Chintala, P. Graf, X. Jin, and D. Biagioni. IEEE Trans. Smart Grid, 13 (3): 1976-1987 (2022)Learning-Accelerated ADMM for Distributed DC Optimal Power Flow.D. Biagioni, P. Graf, X. Zhang, A. Zamzam, K. Baker, and J. King. IEEE Control. Syst. Lett., (2022)PowerGridworld: a framework for multi-agent reinforcement learning in power systems.D. Biagioni, X. Zhang, D. Wald, D. Vaidhynathan, R. Chintala, J. King, and A. Zamzam. e-Energy, page 565-570. ACM, (2022)Distributed Reinforcement Learning with ADMM-RL.P. Graf, J. Annoni, C. Bay, D. Biagioni, D. Sigler, M. Lunacek, and W. Jones. ACC, page 4159-4166. IEEE, (2019)A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem.E. Skordilis, Y. Hou, C. Tripp, M. Moniot, P. Graf, and D. Biagioni. CoRR, (2021)Learning-Accelerated ADMM for Distributed DC Optimal Power Flow.D. Biagioni, P. Graf, X. Zhang, A. Zamzam, K. Baker, and J. King. ACC, page 576-581. IEEE, (2021)A Cyber-Physical System for Freeway Ramp Meter Signal Control Using Deep Reinforcement Learning in a Connected Environment.Y. Hou, X. Zhang, P. Graf, C. Tripp, and D. Biagioni. ITSC, page 3813-3820. IEEE, (2021)Multi-objective goal-directed optimization of de novo stable organic radicals for aqueous redox flow batteries.S. V., J. Law, C. Tripp, D. Duplyakin, E. Skordilis, D. Biagioni, R. Paton, and P. John. Nat. Mach. Intell., 4 (8): 720-730 (2022)Plug & play directed evolution of proteins with gradient-based discrete MCMC.P. Emami, A. Perreault, J. Law, D. Biagioni, and P. John. Mach. Learn. Sci. Technol., 4 (2): 25014 (June 2023)

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Disambiguation of "Biagioni, David"

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

Please choose a person to relate this publication to

Wahyudi David

Florian Bodo David

Jens-Ulrich Davids

Joachim David

Heinz David

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Biagioni, David"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning.

Please choose a person to relate this publication to

Wahyudi David

Florian Bodo David

Jens-Ulrich Davids

Joachim David

Heinz David

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

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