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In this paper, we extend our previous work of a three-network adaptive dynamic programming design [1] to be a multiple critic networks design for online learning and control. The key idea of this approach is to develop a hierarchical internal goal representation to facilitate the online learning with detailed and informative internal value signal representations. We present our learning architecture...
Adaptive dynamic programming (ADP) is an effective method for learning while fuzzy controller has been put into use in many applications because of its simplicity and no need of accurate mathematic modeling. The combination of ADP and fuzzy control has been studied a lot. Before this paper, we have studied using ADP to learn the fuzzy rules of a Monotonic controller, which shows good performance....
In this paper we propose a hierarchical learning architecture with multiple-goal representations based on adaptive dynamic programming (ADP). The key idea of this architecture is to integrate a reference network to provide the internal reinforcement representation (secondary reinforcement signal) to interact with the operation of the learning system. Such a reference network serves an important role...
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