Transfer Learning in Dynamic Environments

by

Investigator: Leong Tze Yun

How can an AI agent focus attention in a complex, unknown environment for decision making? We investigate the use of context-sensitive transfer learning in hierarchical reinforcement learning. The method allows policy transfer in resource-limited and similar settings. We are also investigating the use of the method in assistive care robotics.

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