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_bibliography/papers.bib

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# 2025
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@inproceedings{DBLP:conf/vmcai/AzeemCKKMMW25,
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author = {Muqsit Azeem and
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Debraj Chakraborty and
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Sudeep Kanav and
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Jan Kret{\'{\i}}nsk{\'{y}} and
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MohammadSadegh Mohagheghi and
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Stefanie Mohr and
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Maximilian Weininger},
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title = {1-2-3-Go! Policy Synthesis for Parameterized Markov Decision Processes
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via Decision-Tree Learning and Generalization},
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booktitle = {{VMCAI} {(2)}},
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series = {Lecture Notes in Computer Science},
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volume = {15530},
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pages = {97--120},
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publisher = {Springer},
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year = {2025}
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}
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@inproceedings{DBLP:conf/tacas/ChatterjeeQSWWZ25,
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author = {Krishnendu Chatterjee and
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Tim Quatmann and
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Maximilian Sch{\"{a}}ffeler and
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Maximilian Weininger and
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Tobias Winkler and
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Daniel Zilken},
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title = {Fixed Point Certificates for Reachability and Expected Rewards in
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MDPs},
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booktitle = {{TACAS} {(2)}},
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series = {Lecture Notes in Computer Science},
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volume = {15697},
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pages = {130--151},
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publisher = {Springer},
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year = {2025}
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}
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@inproceedings{DBLP:conf/tacas/BuddeHMWW25,
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author = {Carlos E. Budde and
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Arnd Hartmanns and
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Tobias Meggendorfer and
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Maximilian Weininger and
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Patrick Wienh{\"{o}}ft},
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title = {Sound Statistical Model Checking for Probabilities and Expected Rewards},
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booktitle = {{TACAS} {(1)}},
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series = {Lecture Notes in Computer Science},
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volume = {15696},
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pages = {167--190},
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publisher = {Springer},
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year = {2025}
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}
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@inproceedings{DBLP:conf/aaai/MeggendorferWW25,
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author = {Tobias Meggendorfer and
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Maximilian Weininger and
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Patrick Wienh{\"{o}}ft},
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title = {Solving Robust Markov Decision Processes: Generic, Reliable, Efficient},
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booktitle = {{AAAI}},
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pages = {26631--26641},
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publisher = {{AAAI} Press},
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year = {2025}
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}
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@inproceedings{Galesloot2025rfPG,
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author = {Maris F. L. Galesloot and Roman Andriushchenko and Milan \v{C}e\v{s}ka and Sebastian Junges and Nils Jansen},
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title = {rfPG: Robust Finite-Memory Policy Gradients for Hidden-model {POMDP}s},
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booktitle = {IJCAI},
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abbr = {IJCAI},
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year = {2025},
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arxiv = {2505.09518}
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}
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@inproceedings{Cevahir2025Safety,
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title = {{Safety-Prioritizing Curricula for Constrained Reinforcement Learning}},
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author = {

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