Reinforcement learning for sequential decision making with constraints

• 主要作者: LING, Jiajing
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2023
• 主題: reinforcement learning; sequential decision making; and neuro-symbolic AI; Artificial Intelligence and Robotics
• 在線閱讀: 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

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...