Results 221 to 230 of about 1,517,214 (350)
Value-Function Approximations for Partially Observable Markov Decision Processes
Miloš Hauskrecht
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First‐order Sobolev spaces, self‐similar energies and energy measures on the Sierpiński carpet
Abstract For any p∈(1,∞)$p \in (1,\infty)$, we construct p$p$‐energies and the corresponding p$p$‐energy measures on the Sierpiński carpet. A salient feature of our Sobolev space is the self‐similarity of energy. An important motivation for the construction of self‐similar energy and energy measures is to determine whether or not the Ahlfors regular ...
Mathav Murugan, Ryosuke Shimizu
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Making colonoscopy‐based screening more efficient: A “gateopener” approach
What's new? Although colonoscopy is a widely used screening tool for colorectal cancer (CRC), it is relatively inefficient, as most of the screened subjects would never develop CRC even without screening. In the present study, use of a low‐threshold fecal immunochemical test (“gateopener” FIT) was investigated as a means of streamlining screening ...
Thomas Heisser+4 more
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Abstract The problem of deriving a gradient flow structure for the porous medium equation which is thermodynamic, in that it arises from the large deviations of some microscopic particle system is studied. To this end, a rescaled zero‐range process with jump rate g(k)=kα,α>1$g(k)=k^\alpha, \alpha >1$ is considered, and its hydrodynamic limit and ...
Benjamin Gess, Daniel Heydecker
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Understand funding liquidity and market liquidity in a regime‐switching model
Abstract We investigate the time‐varying relationship of funding liquidity (FL) and market liquidity (ML) in a Markov regime‐switching model. By using a comprehensive U.S. TRACE dataset, we provide strong evidence that FL and corporate bond ML are interlinked, and their impact on each other is highly regime‐dependent.
Louisa Chen, Liya Shen, Zhiping Zhou
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Speeding Up the Convergence of Value Iteration in Partially Observable Markov Decision Processes
Nevin L. Zhang, Weixiong Zhang
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Game-based Abstraction for Markov Decision Processes [PDF]
David Parker+5 more
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Dynamic treatment selection and modification for personalised blood pressure therapy using a Markov decision process model: a cost-effectiveness analysis. [PDF]
Choi SE, Brandeau ML, Basu S.
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Average optimality for Markov decision processes in borel spaces: a new condition and approach [PDF]
Xianping Guo, Quanxin Zhu
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