Understanding Sequential Decisions via Inverse Reinforcement Learning

Understanding Sequential Decisions via Inverse Reinforcement Learning

The execution of an agent's complex activities, comprising sequences of simpler actions, sometimes leads to the clash of conflicting functions that must be optimized. These functions represent satisfaction, short-term as well as long-term objectives, costs and individual preferences. The way th...

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書目詳細資料
Main Authors:	LIU, Siyuan, ARAUJO, Miguel, BRUNSKILL, Emma, ROSSETTI, Rosaldo, BARROS, Joao, KRISHNAN, Ramayya
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2013
主題:	Artificial Intelligence and Robotics Theory and Algorithms
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/3474 https://ink.library.smu.edu.sg/context/sis_research/article/4475/viewcontent/C55___Understanding_Sequential_Decisions_via_Inverse_Reinforcement_Learning__MDM2013_.pdf
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