Fuzzy adaptive Q-learning method with dynamic learning parameters

Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Volumn 5, Issue , 2001, Pages 2778-2780

  Maeda, Yoichiro ^a  

^a OSAKA ELECTRO COMMUNICATION UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; LEARNING ALGORITHMS; MECHATRONICS; ROBOTICS;

FUZZY RULES; LEARNING PROCESS;

FUZZY CONTROL;

EID: 0035792022     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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2. C.J.C.H. Watkins and P. Dayan: Q-Learning, Machine Learning, Technical Note, Vol.8, 1992, pp 279-292.
3. R.S. Sutton: Integrated Architecture for Learning, Planning, and Reacting Based on Approximating Dynamic Programming, Proc. of 7th International Conference on Machine Learning, 1990, pp 216-224.
4. R.A.McCallum: Using Transitional Proximity for Faster Reinforcement Learning, Proc. of 9th International Conference on Machine Learning, 1992, pp 316-321.
5. S.P. Singh: Transfer of learning by Composing Solutions of Elemental Sequential Tasks, Machine Learning 8, 1992, pp 323-339.
6. J. Peng: Efficient Memory-Based Dynamic Programming, Proceedings of the 12th International Conference on Machine Learning, 1995, pp 438-446.