Scalable transfer learning in heterogeneous, dynamic environments

• Main Authors: Nguyen, Trung Thanh, Silander, Tomi, LI, Zhuoru, Tze-Yun LEONG
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Model-based reinforcement learning; Online feature selection; Transfer learning; Artificial Intelligence and Robotics
• Online Access: https://ink.library.smu.edu.sg/sis_research/3039; https://ink.library.smu.edu.sg/context/sis_research/article/4039/viewcontent/ScalableTransferLearningHeterogeneousDynamicEnvironments_2015.pdf
• Institution: Singapore Management University

Reinforcement learning is a plausible theoretical basis for developing self-learning, autonomous agents or robots that can effectively represent the world dynamics and efficiently learn the problem features to perform different tasks in different environments. The computational costs and complexitie...