Results 101 to 110 of about 13,577 (270)
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT In recent years, the widespread application of deep reinforcement learning (DRL) in autonomous systems has highlighted the importance of achieving high sample efficiency under sparse reward conditions. To improve sample efficiency in sparse reward environments, this paper proposes a reinforcement learning framework built upon the Soft Actor ...
Jingyi Huang +5 more
wiley +1 more source
SEMI-MARKOV DECISION PROCESSES WITH COUNTABLE STATE SPACE AND COMPACT ACTION SPACE [PDF]
, 1978 We shall be concerned with the optimization problem of semi-Markov decision processes with countable state space and compact action space. Defined is the generalized reward function associated with the semi-Markov decision processes which include the ...
安田, 正實, Yasuda, Masami
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Nested Selves: Self‐Organization and Shared Markov Blankets in Prenatal Development in Humans
Topics in Cognitive Science, EarlyView., 2023 Abstract The immune system is a central component of organismic function in humans. This paper addresses self‐organization of biological systems in relation to—and nested within—other biological systems in pregnancy. Pregnancy constitutes a fundamental state for human embodiment and a key step in the evolution and conservation of our species. While not
Anna Ciaunica +3 more
wiley +1 more source
Alternative seed trait strategies are linked to a trade‐off between spatial and temporal dispersal
Functional Ecology, EarlyView.Read the free Plain Language Summary for this article on the Journal blog. Abstract Seed dispersal allows plants to seek favourable conditions or spread the risk of unfavourable conditions through space and time. While theory predicts a trade‐off between spatial and temporal dispersal, empirical tests have been stymied by the difficulty of measuring ...
Marina L. LaForgia +5 more
wiley +1 more source
Real Estate Economics, EarlyView.Abstract We estimate the price impact of very nearby concurrently listed properties in the Sydney housing market and assess their competition effects. We apply a hedonic model with spatiotemporal effects regularized via a graph Laplacian prior at the month‐by‐SA2 regional level to seven SA4 subregions of metropolitan Sydney. The model structure enables
Willem P. Sijp, Mengheng Li
wiley +1 more source
Inference on state occupancy in covariate‐driven hidden Markov models
Methods in Ecology and Evolution, EarlyView.Abstract Hidden Markov models (HMMs) are natural and popular tools for analysing animal behaviour based on movement, acceleration and other sensor data. In particular, these models make it possible to infer how the animal's decision‐making process interacts with internal and external drivers by relating the probabilities of switching between distinct ...
Maya Natascha Vienken +2 more
wiley +1 more source
A policy gradient method for semi-Markov decision processes [PDF]
, 2002 Solving a semi-Markov decision process (SMDP) using value or policy iteration requires precise knowledge of the probabilistic model and suffers from the curse of dimensionality.
Sumeetpal S. Singh +2 more
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Long‐run confidence: Estimating uncertainty when using long‐run multipliers
American Journal of Political Science, EarlyView.Abstract Researchers are often interested in the long‐run relationship (LRR) between variables where the dependent variable has dynamic properties. Though determining the long‐run multiplier (LRM) for an independent variable is straightforward, correctly estimating the significance of the LRM is often difficult, especially when time series are short ...
Mark David Nieman, David A. M. Peterson
wiley +1 more source
Simulation or cohort models? Continuous time simulation and discretized Markov models to estimate cost-effectiveness [PDF]
The choice of model design for decision analytic models in cost-effectiveness analysis has been the subject of discussion. The current work addresses this issue by noting that, when time is to be explicitly modelled, we need to represent phenomena ...
Marta O Soares, L Canto e Castro
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Andrology, EarlyView.ABSTRACT Background Testicular cancer (TC) is the most common malignancy amongst adolescents and young adults (AYAs) aged 15–39 years assigned male at birth. Survivors often experience late effects of treatment and report unmet supportive care needs.
Mohamad M. Saab +30 more
wiley +1 more source