Fuzzy Sarsa with Focussed Replacing Eligibility Traces for Robust and Accurate Control

Author:

Kamdem Sylvain1,Ohki Hidehiro1,Sueda Naomichi1

Affiliation:

1. Oita University

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering

Reference32 articles.

1. (1) D. Driankov and A. Saffiotti: “Fuzzy logic techniques for autonomous vehicle navigation”, Springer-Physica Verlag (2001)

2. (2) T. Munaka: “Fundamentals of the New Artificial Intelligence”, Springler Verlag (1998)

3. (3) A. G. Barto, R. S. Sutton, and C. W. Anderson: “Neuronlike adaptive elements that can solve difficult learning control problems”, IEEE Trans. Systems, Man, and Cybernetics, Vol. 13, pp. 835-846 (1983)

4. (4) R. S. Sutton: “Temporal Credit Assignment in Reinforcement Learning”, PhD Thesis, University of Massachusetts (1984)

5. (5) R. S. Sutton: “Learning to predict by the methods of temporal differences”, Machine Learning, pp. 9-44 (1988)

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