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Volumn , Issue , 2005, Pages 365-372

Legs that can walk: Embodiment-based modular reinforcement learning applied

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; INTELLIGENT AGENTS; LEARNING SYSTEMS; SENSORS;

EID: 28444438497     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (23)
  • 1
    • 3042638813 scopus 로고    scopus 로고
    • Signals from load sensors underlie interjoint coordination during stepping movements of the stick insect leg
    • Turgay Akay, Sebastian Haehn, Josef Schmitz, and Ansgar Büschges. Signals from load sensors underlie interjoint coordination during stepping movements of the stick insect leg. Neurophysiology, 92:42-51, 2003.
    • (2003) Neurophysiology , vol.92 , pp. 42-51
    • Akay, T.1    Haehn, S.2    Schmitz, J.3    Büschges, A.4
  • 3
    • 0039476361 scopus 로고
    • chapter 16, "Legged Robots", Marc H. Raibert. MIT Press
    • Michael Brady, editor. Robotics Science, chapter 16, "Legged Robots", Marc H. Raibert. MIT Press, 1989.
    • (1989) Robotics Science
    • Brady, M.1
  • 4
    • 0031153176 scopus 로고    scopus 로고
    • From earwigs to humans
    • June
    • R. Brooks. From earwigs to humans. Robotics and Autonomous Systems, 20(2 - 4):291 - 304, June 1997.
    • (1997) Robotics and Autonomous Systems , vol.20 , Issue.2-4 , pp. 291-304
    • Brooks, R.1
  • 8
    • 0002278788 scopus 로고    scopus 로고
    • Hierarchical reinforcement learning with the maxq value function decomposition
    • T. G. Dietterich. Hierarchical reinforcement learning with the maxq value function decomposition. Artificial Intelligence Research, 13:227 - 303, 2000.
    • (2000) Artificial Intelligence Research , vol.13 , pp. 227-303
    • Dietterich, T.G.1
  • 10
    • 28444481485 scopus 로고    scopus 로고
    • Ember: Learning with embodiment-based modular reinforcement
    • University of Hertfordshire, Faculty of Engineering and Information Sciences, Hatfield, UK, January
    • David Jacob, Daniel Polani, and Chrystopher L. Nehaniv. Ember: Learning with embodiment-based modular reinforcement. Technical Report 398, University of Hertfordshire, Faculty of Engineering and Information Sciences, Hatfield, UK, January 2004.
    • (2004) Technical Report , vol.398
    • Jacob, D.1    Polani, D.2    Nehaniv, C.L.3
  • 11
    • 28444471338 scopus 로고    scopus 로고
    • Improving learning for embodied agents in dynamic environments by state factorisation
    • September
    • David Jacob, Daniel Polani, and Chrystopher L. Nehaniv. Improving learning for embodied agents in dynamic environments by state factorisation. In TAROS 2004, Towards Autonomous Robotic Systems, September 2004.
    • (2004) TAROS 2004, Towards Autonomous Robotic Systems
    • Jacob, D.1    Polani, D.2    Nehaniv, C.L.3
  • 21
    • 0033170372 scopus 로고    scopus 로고
    • Between mdps and semi-mdps: A framework for temporal abstraction in reinforcement learning
    • R. S. Sutton, D. Precup, and S. Singh. Between mdps and semi-mdps: A framework for temporal abstraction in reinforcement learning. Artificial Intelligence, 112:181-211, 1999.
    • (1999) Artificial Intelligence , vol.112 , pp. 181-211
    • Sutton, R.S.1    Precup, D.2    Singh, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.