A Case-Based Reasoning Framework for Developing Agents Using Learning by Observation

Abstract

Most realistic environments are complex, partially observable and impose real-time constraints on agents operating within them. This paper describes a framework that allows agents to learn by observation in such environments. When learning by observation, agents observe an expert performing a task and learn to perform the same task based on those… (More)
DOI: 10.1109/ICTAI.2011.86

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