FDMS with Q-Learning: A Neuro-Fuzzy Approach to Partially Observable Markov Decision Problems

International Journal of Advanced Robotic Systems

关键词: POMDP;    neuro-fuuzy;    rule-based systems;   

DOI  :  

来源: DOAJ

【 摘 要 】

Finding optimal solutions to Partially Observable Markov Decision Problems is known to be NP-hard. This paper describes a novel neuro-fuzzy approach to obtain fast, robust and easily interpreted solutions by utilizing a combination of several learning techniques including neural networks, fuzzy decision making and Q-learning.

【 授权许可】

Unknown