State-Dependent Constraints is a constraint specification in constrained Markov decision processes and dynamic optimization that restricts allowable actions or policies based on the current state of the system, thereby differentiating itself from static or state-independent constraints by explicitly coupling constraint conditions to the underlying state space.
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1.5K
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591
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2017–2026
257
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726
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591
Technical University of Munich
Munich, Germany
15 h-index
35 publications
1.1K citations
Liaoning University of Technology
Jinzhou, China
14 h-index
33 publications
2.6K citations
ETH Zurich
Zurich, Switzerland
13 h-index
35 publications
3.7K citations
Centre National de la Recherche Scientifique
Paris, France
12 h-index
21 publications
908 citations
Technische Universität Berlin
Berlin, Germany
11 h-index
19 publications
1.1K citations
Georgia Institute of Technology
Atlanta, United States
11 h-index
20 publications
1.2K citations
Beihang University
Beijing, China
11 h-index
24 publications
1K citations
Northeastern University
Shenyang, China
10 h-index
23 publications
948 citations
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- IEEE Transactions on Automatic Control
30 publications · 3.4K citations
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- SIAM Journal on Control and Optimization
24 publications · 1.4K citations
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- Automatica
16 publications · 2K citations
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- Journal of Optimization Theory and Applications
16 publications · 683 citations
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- Computational Optimization and Applications
13 publications · 560 citations
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