Results 151 to 160 of about 22,611 (260)
Risk‐aware safe reinforcement learning for control of stochastic linear systems
Asian Journal of Control, EarlyView.Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili +2 more
wiley +1 more source
Calibrated Stochastic Dynamic Models for Resource Management
In this paper we develop a positive calibrated approach to stochastic dynamic programming. Risk aversion, discount rate, and intertemporal substitution preferences of the decision-maker are calibrated by a procedure that minimizes the mean squared error ...
Reynaud, Arnaud +3 more
core
Biofuels, Bioproducts and Biorefining, EarlyView.Abstract This study presents a novel bioeconomy optimization framework, BiOpt, designed to address critical questions regarding the strategic use of limited US biomass resources for biofuel production. By integrating detailed techno‐economic analyses, life cycle assessments, and resource assessment data, BiOpt optimizes resource distributions across ...
Nicholas A. Carlson +3 more
wiley +1 more source
Biological Reviews, EarlyView.ABSTRACT The complexity of breast cancer (BC) lung metastasis lies in the capacity of tumour cells to interact efficiently with distant organs to promote colonisation, a process that involves the sophisticated coordination of inherent cellular plasticity and the remodelling of the distant microenvironment.
Jian Lu +12 more
wiley +1 more source
How to Solve Dynamic Stochastic Models Computing Expectations Just Once [PDF]
We introduce a technique called "precomputation of integrals" that makes it possible to compute conditional expectations in dynamic stochastic models in the initial stage of the solution procedure.
Lilia Maliar +2 more
core
Numerical Analysis of BIMs for Stochastic SIR and SIS Models with Variable Contact Diffusion Rates. [PDF]
J Math BiolSchurz H, Tosun K.
europepmc +1 more source
Advances in causal discovery methods for ecological time series
Biological Reviews, EarlyView.ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki +6 more
wiley +1 more source
Green Hydrogen for Public Transportation: Insights From an ABM and From Palma de Mallorca Case Study
Business Strategy and the Environment, EarlyView.ABSTRACT The development of green hydrogen (GH2) value chains is crucial for decarbonizing sectors such as transport and industry. Their emergence, however, requires coordination among diverse actors, technologies, and regulations, which traditional analytical approaches struggle to capture.
Roberta De Cristofaro +2 more
wiley +1 more source
Coupled SDE-ODE Modeling of Tumor-Immune Dynamics to Infer Biomarker Release. [PDF]
Bull Math BiolShrestha P, Fan Y, George JT.
europepmc +1 more source