Advances in Reinforcement Learning: A Comprehensive Review of Real-World Applications in Industry
| Parent link: | Acta Scientific Computer Sciences.— .— Hyderabad: Acta Scientific Vol. 5, iss. 5.— 2023.— P. 32-38 |
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| প্রধান লেখক: | |
| সংস্থা লেখক: | |
| অন্যান্য লেখক: | |
| সংক্ষিপ্ত: | This paper investigates the current feasibility of utilizing reinforcement learning algorithms in the industrial sector. Although many studies have showcased the success of these algorithms in simulations or on isolated real-world objects, there is a paucity of research examining their wider implementation in real-world systems. In this study, we identify the obstacles that must be surmounted to fully leverage the potential benefits of reinforcement learning algorithms in practical applications. Moreover, we present a thorough overview of existing literature aimed at tackling these challenges. Текстовый файл |
| প্রকাশিত: |
2023
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | https://actascientific.com/ASCS/ASCS-05-0441.php |
| বিন্যাস: | বৈদ্যুতিক গ্রন্থের অধ্যায় |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=671038 |
| সংক্ষিপ্ত: | This paper investigates the current feasibility of utilizing reinforcement learning algorithms in the industrial sector. Although many studies have showcased the success of these algorithms in simulations or on isolated real-world objects, there is a paucity of research examining their wider implementation in real-world systems. In this study, we identify the obstacles that must be surmounted to fully leverage the potential benefits of reinforcement learning algorithms in practical applications. Moreover, we present a thorough overview of existing literature aimed at tackling these challenges. Текстовый файл |
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