Function Approximation for Reinforcement Learning Using Autonomous-Decentralized Algorithm
نویسندگان
چکیده
منابع مشابه
Reinforcement Learning and Function Approximation
Relational reinforcement learning combines traditional reinforcement learning with a strong emphasis on a relational (rather than attribute-value) representation. Earlier work used relational reinforcement learning on a learning version of the classic Blocks World planning problem (a version where the learner does not know what the result of taking an action will be). “Structural” learning resu...
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Reinforcement learning techniques address the problem of learning to select actions in unknown, dynamic environments. It is widely acknowledged that to be of use in complex domains, reinforcement learning techniques must be combined with generalizing function approximation methods such as artificial neural networks. Little, however, is understood about the theoretical properties of such combina...
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ژورنال
عنوان ژورنال: Transactions of the Society of Instrument and Control Engineers
سال: 2002
ISSN: 0453-4654
DOI: 10.9746/sicetr1965.38.219