Reinforcement learning for sequential decision making with constraints

Reinforcement learning is a widely used approach to tackle problems in sequential decision making where an agent learns from rewards or penalties. However, in decision-making problems that involve safety or limited resources, the agent's exploration is often limited by constraints. To model suc...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: LING, Jiajing
التنسيق: text
اللغة:English
منشور في: Institutional Knowledge at Singapore Management University 2023
الموضوعات:
الوصول للمادة أونلاين:https://ink.library.smu.edu.sg/etd_coll/513
https://ink.library.smu.edu.sg/context/etd_coll/article/1511/viewcontent/GPIS_AY2018_PhD_LING_Jiajing.pdf
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المؤسسة: Singapore Management University
اللغة: English