Understanding Sequential Decisions via Inverse Reinforcement Learning

• Main Authors: LIU, Siyuan, ARAUJO, Miguel, BRUNSKILL, Emma, ROSSETTI, Rosaldo, BARROS, Joao, KRISHNAN, Ramayya
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: Artificial Intelligence and Robotics; Theory and Algorithms
• Online Access: 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
• Institution: Singapore Management University

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...