Search: Markov decision process — Academic Articles

Sequence Decision Transformer for Adaptive Traffic Signal Control

Rui Zhao, Haofeng Hu, Yun Li, Yuze Fan et al. • Sensors (2024)

Urban traffic congestion poses significant economic and environmental challenges worldwide. To mitigate these issues, Adaptive Traffic Signal Control (ATSC) has emerged as a promising solution. Recent advancements in deep reinforcement lear...

DOAJ Open Access (DOAJ) DOI: 10.3390/s24196202

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Deep learning for natural language processing: advantages and challenges

Hang Li • National Science Review (2017)

Deep learning refers to machine learning technologies for learning and utilizing ‘deep’ artificial neural networks, such as deep neural networks (DNN), convolutional neural networks (CNN) and recurrent neural networks (RNN). Recently, deep ...

OPENALEX cc-by DOI: https://doi.org/10.1093/nsr/nwx110

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REVIEW OF THEORETICAL APPROACHES TO USING OF ARTIFICIAL INTELLIGENCE FOR PLANNING PROBLEMS IN ECONOMICS

Gocha Ugulava • ეკონომიკური პროფილი (2022)

Artificial intelligence methods and technologies are increasingly included in human's everyday life. Managing actors in the context of their activities, from the planning stage to the decision-making stage, are faced with the need to operat...

DOAJ Open Access (DOAJ) DOI: 10.52244/ep.2021.22.11

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Academic Articles & Research Papers

Sequence Decision Transformer for Adaptive Traffic Signal Control

Deep learning for natural language processing: advantages and challenges

REVIEW OF THEORETICAL APPROACHES TO USING OF ARTIFICIAL INTELLIGENCE FOR PLANNING PROBLEMS IN ECONOMICS