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Volumn , Issue , 2007, Pages 2098-2103

Neural reinforcement learning controllers for a real robot application

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL CONTROLLERS; REAL ROBOTS; SPEED CONTROLLERS;

EID: 36348930983     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2007.363631     Document Type: Conference Paper
Times cited : (48)

References (13)
  • 3
    • 84880694195 scopus 로고
    • Stable function approximation in dynamic programming
    • A. Prieditis and S. Russell, editors, San Francisco, CA, Morgan Kaufmann
    • G. J. Gordon. Stable function approximation in dynamic programming. In A. Prieditis and S. Russell, editors, Proceedings of the Twelfth International Conference on Machine Learning, pages 261-268, San Francisco, CA, 1995. Morgan Kaufmann.
    • (1995) Proceedings of the Twelfth International Conference on Machine Learning , pp. 261-268
    • Gordon, G.J.1
  • 7
    • 0009267623 scopus 로고    scopus 로고
    • Generating continuous control signals for reinforcement controllers using dynamic output elements
    • Bruges
    • M. Riedmiller. Generating continuous control signals for reinforcement controllers using dynamic output elements. In European Symposium on Artificial Neural Networks, ESANN'97, Bruges, 1997.
    • (1997) European Symposium on Artificial Neural Networks, ESANN'97
    • Riedmiller, M.1
  • 8
    • 0033233953 scopus 로고    scopus 로고
    • Concepts and facilities of a neural reinforcement learning control architecture for technical process control
    • M. Riedmiller. Concepts and facilities of a neural reinforcement learning control architecture for technical process control. Neural Computing & Applications, 8:323-338, 2000.
    • (2000) Neural Computing & Applications , vol.8 , pp. 323-338
    • Riedmiller, M.1
  • 9
    • 33646687423 scopus 로고    scopus 로고
    • Neural fitted q iteration - first experiences with a data efficient neural reinforcement learning method
    • Porto, Portugal, October
    • M. Riedmiller. Neural fitted q iteration - first experiences with a data efficient neural reinforcement learning method. In Proc. of the European Conference on Machine Learning, ECML 2005, Porto, Portugal, October 2005.
    • (2005) Proc. of the European Conference on Machine Learning, ECML 2005
    • Riedmiller, M.1
  • 11
    • 84943274699 scopus 로고
    • A direct adaptive method for faster backpropagation learning: The RPROP algorithm
    • H. Ruspini, editor, San Francisco
    • M. Riedmiller and H. Braun. A direct adaptive method for faster backpropagation learning: The RPROP algorithm. In H. Ruspini, editor, Proceedings of the IEEE International Conference on Neural Networks (ICNN), pages 586 - 591, San Francisco, 1993.
    • (1993) Proceedings of the IEEE International Conference on Neural Networks (ICNN) , pp. 586-591
    • Riedmiller, M.1    Braun, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.