Continuous-time State-space Models
Continuous-Time State-Space Models is a mathematical framework for representing dynamical systems in which the state variables evolve continuously over time, distinguished from discrete-time counterparts by its formulation through differential equations that describe the instantaneous rate of change of the state in response to inputs.
293
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16.3K
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647
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321
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2017–2026
81
293
Infinite-Horizon Policy-Gradient Estimation
2001 · 539 citations
Infinite-Horizon Policy-Gradient Estimation
Journal of Artificial Intelligence Research · 2001 · 333 citations · Full text
State-space models for the dynamics of wild animal populations
S. T. Buckland, Ken B. Newman, Len Thomas et al. · Ecological Modelling · 2003 · 322 citations
Life Sciences, Ecology, Mathematics +14
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Delft University of Technology
Delft, The Netherlands
9 h-index
17 publications
799 citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
13 publications
320 citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
12 publications
639 citations
Massachusetts Institute of Technology
Cambridge, United States
6 h-index
11 publications
353 citations
ETH Zurich
Zurich, Switzerland
6 h-index
11 publications
322 citations
University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
8 publications
792 citations
University of California, Berkeley
Berkeley, United States
5 h-index
7 publications
751 citations

University of Manchester
Manchester, United Kingdom
5 h-index
8 publications
184 citations
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11 publications · 612 citations
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Repository · 9 publications · 492 citations
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6 publications · 130 citations
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4 publications · 157 citations
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JAP · 4 publications · 263 citations
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