Unlock the Intermittent Control Ability of Model Free Reinforcement Learning & Xiaotian Hao Yi Ma College of Intelligence and Computing School of Computer and Information Technology Tianjin University

Neural Information Processing Systems 

Intermittent control problems are common in real world. The interactions between the decision maker and the executor can be discontinuous (intermittent) due to various types of interruptions, e.g.

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