SEAPoT-RL: Selective exploration algorithm for policy transfer in RL

• Main Authors: NARAYAN, Akshay, LI, Zhuoru, LEONG, Tze-Yun
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Transfer learning; policy transfer; reinforcement learning; Numerical Analysis and Scientific Computing; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/3762; https://ink.library.smu.edu.sg/context/sis_research/article/4764/viewcontent/14729_66712_1_PB.pdf
• Institution: Singapore Management University

We propose a new method for transferring a policy from a source task to a target task in model-based reinforcement learning. Our work is motivated by scenarios where a robotic agent operates in similar but challenging environments, such as hospital wards, differentiated by structural arrangements or...