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2024
[i5]
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  - journals/corr/abs-2403-14432
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Hans Harder, Sebastian Peitz:
On the continuity and smoothness of the value function in reinforcement learning and optimal control. CoRR abs/2403.14432 (2024)
[i4]
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  - journals/corr/abs-2404-18530
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Hans Harder, Sebastian Peitz:
Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines. CoRR abs/2404.18530 (2024)
2023
[c2]
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  - conf/ijcai/HarderJBD23
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Hans Harder, Simon Jantsch, Christel Baier, Clemens Dubslaff:
A Unifying Formal Approach to Importance Values in Boolean Functions. IJCAI 2023: 2728-2737
[i3]
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  - journals/corr/abs-2305-08103
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Hans Harder, Simon Jantsch, Christel Baier, Clemens Dubslaff:
A Unifying Formal Approach to Importance Values in Boolean Functions. CoRR abs/2305.08103 (2023)
[i2]
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  - journals/corr/abs-2307-15325
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Sebastian Peitz, Hans Harder, Feliks Nüske, Friedrich Philipp, Manuel Schaller, Karl Worthmann:
Partial observations, coarse graining and equivariance in Koopman operator theory for large-scale dynamical systems. CoRR abs/2307.15325 (2023)
2020
[c1]
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  - conf/fmcad/JantschHFB20
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Simon Jantsch, Hans Harder, Florian Funke, Christel Baier:
Switss: Computing Small Witnessing Subsystems. FMCAD 2020: 236-244
[i1]
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  - journals/corr/abs-2008-04049
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Simon Jantsch, Hans Harder, Florian Funke, Christel Baier:
SWITSS: Computing Small Witnessing Subsystems. CoRR abs/2008.04049 (2020)

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