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...
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التنسيق: | text |
اللغة: | English |
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Institutional Knowledge at Singapore Management University
2023
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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 |