A SELF-IMPROVING FUZZY CEREBELLAR MODEL ARTICULATION CONTROLLER WITH STOCHASTIC ACTION GENERATION

DOI10.1080/019697202753435890zbMath1027.93003OpenAlexW2084836272WikidataQ58925303 ScholiaQ58925303MaRDI QIDQ4781458

Yuan-Pao Hsu, Kao-Shing Hwang

Publication date: 3 January 2004

Published in: Cybernetics and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/019697202753435890

zbMATH Keywords

reinforcement learningrobot controlfuzzy cerebellar model articulation controllerstate space quantizer

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Neural networks for/in biological studies, artificial life and related topics (92B20)

Cites Work

• Simple statistical gradient-following algorithms for connectionist reinforcement learning
• Data Storage in the Cerebellar Model Articulation Controller (CMAC)
• A New Approach to Manipulator Control: The Cerebellar Model Articulation Controller (CMAC)