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Helmut-Schmidt-University, Chair of Computer Science in Engineerng
- Hamburg
- http://jonas-ehrhardt.de
- https://de.linkedin.com/in/jonas-m-ehrhardt
- https://www.researchgate.net/profile/Jonas-Ehrhardt
- https://scholar.google.com/citations?user=lv_VJRgAAAAJ&hl=en
- https://orcid.org/0000-0001-5023-839X
Pinned Loading
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hai-cpps-benchmark
hai-cpps-benchmark PublicThis repository contains the simulation models and links to the datasets for the Hamburg AI Benchmark for anomaly detection, diagnosis, reconfiguration, and planning.
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icaps25-tutorial-nn-enriched-planning-with-smt
icaps25-tutorial-nn-enriched-planning-with-smt PublicForked from imb-hsu/icaps25-tutorial-nn-enriched-planning-with-smt
This is the repository for the 2025 ICAPS tutorial on neural network enriched planning with Satisfiability Modulo Theory
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gcmdqn
gcmdqn PublicThis is the repository for our paper "Using Gradient-based Optimization for Planning with Deep Q-Networks in Parametrized Action Spaces". The paper includes the code for replication and further use.
Python
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nns-for-input-reconstruction
nns-for-input-reconstruction PublicThis repo contains the code to reconstruct missing inputs of neural networks, using backpropagation.
Python
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