7 Publications

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[7]
2026 | Preprint | LibreCat-ID: 67306 | OA
J. Stenner, H. Harder, and S. Peitz, “Sparse Sensor Placement in Multi-Agent Reinforcement Learning Control of Rayleigh-Bénard Convection,” arXiv:2606.30238. 2026.
LibreCat | Download (ext.)
 
[6]
2026 | Conference Paper | LibreCat-ID: 67299 | OA
H. Harder, A. Vishwasrao, L. Guastoni, R. Vinuesa, and S. Peitz, “Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems,” in Proceedings of The 8th Annual Learning for Dynamics and Control Conference, 2026, vol. 331, pp. 1601–1619, doi: 10.48550/arXiv.2511.04641.
LibreCat | DOI | Download (ext.)
 
[5]
2025 | Journal Article | LibreCat-ID: 46579 | OA
S. Peitz, H. Harder, F. Nüske, F. Philipp, M. Schaller, and K. Worthmann, “Equivariance and partial observations in Koopman operator theory for partial differential equations,” Journal of Computational Dynamics, vol. 12, pp. 305–324, 2025, doi: 10.3934/jcd.2024035.
LibreCat | DOI | Download (ext.) | arXiv
 
[4]
2025 | Conference Paper | LibreCat-ID: 53793 | OA
H. Harder and S. Peitz, “Solving partial differential equations with equivariant extreme learning machines,” in Systems theory in data and optimization, 2025, pp. 153–168, doi: 10.1007/978-3-031-83191-1_10.
LibreCat | DOI | Download (ext.)
 
[3]
2025 | Journal Article | LibreCat-ID: 67314
H. Harder, S. Peitz, F. Nüske, F. Philipp, M. Schaller, and K. Worthmann, “Group Convolutional Extended Dynamic Mode Decomposition,” Physica D: Nonlinear Phenomena, vol. 480, p. 134725, 2025, doi: 10.1016/j.physd.2025.134725.
LibreCat | DOI
 
[2]
2025 | Preprint | LibreCat-ID: 67318
F. Fromme, C. Allen-Blanchette, H. Harder, and S. Peitz, “Surrogate Modeling of 3D Rayleigh-Bénard Convection with Equivariant Autoencoders,” arXiv:2505.13569. 2025.
LibreCat
 
[1]
2024 | Conference Paper | LibreCat-ID: 52758
H. Harder and S. Peitz, “On the continuity and smoothness of the value function in reinforcement learning and optimal control,” in IEEE 63rd conference on decision and control (CDC), 2024, pp. 1935–1940, doi: 10.1109/CDC56724.2024.10886529.
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7 Publications

Mark all

[7]
2026 | Preprint | LibreCat-ID: 67306 | OA
J. Stenner, H. Harder, and S. Peitz, “Sparse Sensor Placement in Multi-Agent Reinforcement Learning Control of Rayleigh-Bénard Convection,” arXiv:2606.30238. 2026.
LibreCat | Download (ext.)
 
[6]
2026 | Conference Paper | LibreCat-ID: 67299 | OA
H. Harder, A. Vishwasrao, L. Guastoni, R. Vinuesa, and S. Peitz, “Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems,” in Proceedings of The 8th Annual Learning for Dynamics and Control Conference, 2026, vol. 331, pp. 1601–1619, doi: 10.48550/arXiv.2511.04641.
LibreCat | DOI | Download (ext.)
 
[5]
2025 | Journal Article | LibreCat-ID: 46579 | OA
S. Peitz, H. Harder, F. Nüske, F. Philipp, M. Schaller, and K. Worthmann, “Equivariance and partial observations in Koopman operator theory for partial differential equations,” Journal of Computational Dynamics, vol. 12, pp. 305–324, 2025, doi: 10.3934/jcd.2024035.
LibreCat | DOI | Download (ext.) | arXiv
 
[4]
2025 | Conference Paper | LibreCat-ID: 53793 | OA
H. Harder and S. Peitz, “Solving partial differential equations with equivariant extreme learning machines,” in Systems theory in data and optimization, 2025, pp. 153–168, doi: 10.1007/978-3-031-83191-1_10.
LibreCat | DOI | Download (ext.)
 
[3]
2025 | Journal Article | LibreCat-ID: 67314
H. Harder, S. Peitz, F. Nüske, F. Philipp, M. Schaller, and K. Worthmann, “Group Convolutional Extended Dynamic Mode Decomposition,” Physica D: Nonlinear Phenomena, vol. 480, p. 134725, 2025, doi: 10.1016/j.physd.2025.134725.
LibreCat | DOI
 
[2]
2025 | Preprint | LibreCat-ID: 67318
F. Fromme, C. Allen-Blanchette, H. Harder, and S. Peitz, “Surrogate Modeling of 3D Rayleigh-Bénard Convection with Equivariant Autoencoders,” arXiv:2505.13569. 2025.
LibreCat
 
[1]
2024 | Conference Paper | LibreCat-ID: 52758
H. Harder and S. Peitz, “On the continuity and smoothness of the value function in reinforcement learning and optimal control,” in IEEE 63rd conference on decision and control (CDC), 2024, pp. 1935–1940, doi: 10.1109/CDC56724.2024.10886529.
LibreCat | DOI
 

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Citation Style: IEEE

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