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Distributional Reinforcement Learning
出版 2023“...They demonstrate its power to account for many complex, interesting phenomena that arise from interactions with one's environment.The authors present core ideas from classical reinforcement learning to contextualize distributional topics and include mathematical proofs pertaining to major results discussed in the text. ...”
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Probability, Stochastic Processes and Optimization
出版 2024主題: “...algorithmic trading...”
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Models of socio-cyber-physical systems security
出版 2025“...The fifth chapter proposes a methodology for analyzing the quality of the mechanism for validating the identified vulnerabilities of a corporate network, which is based on integral equations that take into account the quantitative characteristics of the vulnerability validation mechanism under study at a certain point in time. ...”
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Chapter Development of an Automated Workflow in the Field of Fire Prevention Using Building Information Modeling
出版 2024“...The workflow proposed involves three distinct processes, integrating them within a single workflow: study of the technical regulations and transposition into the digital environment using proven methods such as RASE, Tx3 and TIO, information modelling of a case study and implementation of validation algorithms using Solibri software. ...”
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Foundations of Robotics
出版 2024“...The book also introduces the reader to the Robot Operating System (ROS), the ubiquitous software and algorithmic framework used by researchers and the industry. ...”
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Optimization of Gridshells Against Instability Considering Joints’ Mechanical Performance
出版 2025“...The improved algorithm efficiently solves large-scale stability optimization problems for single-layer gridshells, as validated using three gridshells of varying scales and two constructed examples. ...”
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The Application of Spectral Techniques in Agriculture and Forestry
出版 2025“...This Special Issue compiles 12 groundbreaking studies that advance spectral analysis technologies through interdisciplinary integration with machine learning. By synergizing remote sensing data and intelligent algorithms, the featured research establishes multidimensional monitoring frameworks spanning crop phenotyping to ecosystem assessment. ...”
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