Transferring expectations in model-based reinforcement learning

• Main Authors: Nguyen, Trung Thanh, Silander, Tomi, Tze-Yun LEONG
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2012
• Subjects: Benchmark domains; Faster convergence; General approach; Heterogeneous environments; Mapping strategy; Model-based reinforcement learning; Potential impacts; Transfer learning; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/3049
• Institution: Singapore Management University

We study how to automatically select and adapt multiple abstractions or representations of the world to support model-based reinforcement learning. We address the challenges of transfer learning in heterogeneous environments with varying tasks. We present an efficient, online framework that, through...