Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Steinmetz, Marcel"'
Autor:
Behnke, Gregor, Steinmetz, Marcel
Stackelberg planning is a recently introduced single-turn two-player adversarial planning model, where two players are acting in a joint classical planning task, the objective of the first player being hampering the second player from achieving its g
Externí odkaz:
http://arxiv.org/abs/2403.17826
Autor:
Borgwardt, Stefan, Hoffmann, Jörg, Kovtunova, Alisa, Krötzsch, Markus, Nebel, Bernhard, Steinmetz, Marcel
State constraints in AI Planning globally restrict the legal environment states. Standard planning languages make closed-domain and closed-world assumptions. Here we address open-world state constraints formalized by planning over a description logic
Externí odkaz:
http://arxiv.org/abs/2203.09361
Autor:
Wiehr, Frederik, Hirsch, Anke, Daiber, Florian, Kruger, Antonio, Kovtunova, Alisa, Borgwardt, Stefan, Chang, Ernie, Demberg, Vera, Steinmetz, Marcel, Jorg, Hoffmann
For mixed-initiative control between cyber-physical systems (CPS) and its users, it is still an open question how machines can safely hand over control to humans. In this work, we propose a concept to provide technological support that uses formal me
Externí odkaz:
http://arxiv.org/abs/2010.10967
Penetration testing is a well-established practical concept for the identification of potentially exploitable security weaknesses and an important component of a security audit. Providing a holistic security assessment for networks consisting of seve
Externí odkaz:
http://arxiv.org/abs/1705.05088
Autor:
Steinmetz, Marcel, Hoffmann, Jörg
Publikováno v:
In Artificial Intelligence April 2017 245:1-37
Autor:
Steinmetz, Marcel, Fišer, Daniel, Enişer, Hasan Ferit, Ferber, Patrick, Gros, Timo, Heim, Philippe, Höller, Daniel, Schuler, Xandra, Wüstholz, Valentin, Christakis, Maria, Hoffmann, Jörg
Publikováno v:
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling
Testing is a promising way to gain trust in neural action policies π. Previous work on policy testing in sequential decision making targeted environment behavior leading to failure conditions. But if the failure is unavoidable given that behavior, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80dd82f4590a8e2f65ea00a2b3342426
https://doi.org/10.1609/icaps.v32i1.19820
https://doi.org/10.1609/icaps.v32i1.19820
Akademický článek
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Publikováno v:
International Journal on Software Tools for Technology Transfer; Jun2023, Vol. 25 Issue 3, p407-426, 20p
Publikováno v:
Klößner, T, Steinmetz, M, Torralba, A & Hoffmann, J 2022, Pattern Selection Strategies for Pattern Databases in Probabilistic Planning . in A Kumar, S Thiebaux, P Varakantham & W Yeoh (eds), Proceedings of the 32nd International Conference on Automated Planning and Scheduling, ICAPS 2022 . vol. 32, AAAI Press, pp. 184-192, The 32nd International Conference on Automated Planning and Scheduling, Singapore, Singapore, 13/06/2022 . https://doi.org/10.1609/icaps.v32i1.19801
Recently, pattern databases have been extended to probabilistic planning, to derive heuristics for the objectives of goal probability maximization and expected cost minimization. While this approach yields both theoretical and practical advantages ov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b05843fa98ab06fbe99d8dbf0b78bcc3
https://vbn.aau.dk/da/publications/2ce28eb1-b390-4527-9a2f-418ca6255340
https://vbn.aau.dk/da/publications/2ce28eb1-b390-4527-9a2f-418ca6255340