Author of the publication

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

On the continuity and smoothness of the value function in reinforcement learning and optimal control.

H. Harder, and S. Peitz. CoRR, (2024)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Stephan Peitz

Herta Peitz

Christian Peitz

Christoph Peitz

Martin Peitz

Other publications of authors with the same name

Deep Model Predictive Control with Online Learning for Complex Physical Systems.K. Bieker, S. Peitz, S. Brunton, J. Kutz, and M. Dellnitz. CoRR, (2019)On the Treatment of Optimization Problems With L1 Penalty Terms via Multiobjective Continuation.K. Bieker, B. Gebken, and S. Peitz. IEEE Trans. Pattern Anal. Mach. Intell., 44 (11): 7797-7808 (2022)On the continuity and smoothness of the value function in reinforcement learning and optimal control.H. Harder, and S. Peitz. CoRR, (2024)On the structure of regularization paths for piecewise differentiable regularization terms.B. Gebken, K. Bieker, and S. Peitz. J. Glob. Optim., 85 (3): 709-741 (March 2023)On the hierarchical structure of Pareto critical sets.B. Gebken, S. Peitz, and M. Dellnitz. J. Glob. Optim., 73 (4): 891-913 (2019)Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning.S. Peitz, J. Stenner, V. Chidananda, O. Wallscheid, S. Brunton, and K. Taira. CoRR, (2023)Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs.S. Werner, and S. Peitz. CoRR, (2023)Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction.M. Wohlleben, A. Bender, S. Peitz, and W. Sextro. LOD, volume 13164 of Lecture Notes in Computer Science, page 101-115. Springer, (2021)Efficient Time-Stepping for Numerical Integration Using Reinforcement Learning.M. Dellnitz, E. Hüllermeier, M. Lücke, S. Ober-Blöbaum, C. Offen, S. Peitz, and K. Pfannschmidt. SIAM J. Sci. Comput., 45 (2): 579- (April 2023)ElectricGrid.jl - A Julia-based modeling and simulation tool for power electronics-driven electric energy grids.O. Wallscheid, S. Peitz, J. Stenner, D. Weber, S. Boshoff, M. Meyer, V. Chidananda, and O. Schweins. J. Open Source Softw., 8 (89): 5616 (September 2023)

BibSonomy

Disambiguation of "Peitz, Sebastian"

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

On the continuity and smoothness of the value function in reinforcement learning and optimal control.

Please choose a person to relate this publication to

Stephan Peitz

Herta Peitz

Christian Peitz

Christoph Peitz

Martin Peitz

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Peitz, Sebastian"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML On the continuity and smoothness of the value function in reinforcement learning and optimal control.

Please choose a person to relate this publication to

Stephan Peitz

Herta Peitz

Christian Peitz

Christoph Peitz

Martin Peitz

Other publications of authors with the same name

Disambiguation

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

On the continuity and smoothness of the value function in reinforcement learning and optimal control.