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Abstract: A differential dynamic programming (DDP)-based framework for inverse reinforcement learning (IRL) is introduced to recover the parameters in the cost function, system dynamics, and ...

This study develops a unified framework for optimal portfolio selection in jump–uncertain stochastic markets, contributing both theoretical foundations and computational insights. We establish the ...

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Unique mutational landscape and therapeutic implications in non-small cell lung cancer with comorbid fibrotic interstitial lung disease. This is an ASCO Meeting Abstract from the 2025 ASCO Annual ...

Managing context effectively is a critical challenge when working with large language models, especially in environments like Google Colab, where resource constraints and long documents can quickly ...

Working with large datasets in Excel often presents challenges, particularly when clarity and organization are essential. Dynamically inserting blank rows between items is a highly effective method to ...

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The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jctc.5c00103.