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Stefan Schaal: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Jan Peters, Sethu Vijayakumar, Stefan Schaal
    Natural Actor-Critic. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:280-291 [Conf]
  2. Christopher G. Atkeson, Stefan Schaal
    Robot Learning From Demonstration. [Citation Graph (0, 0)][DBLP]
    ICML, 1997, pp:12-20 [Conf]
  3. Jörg Conradt, Gaurav Tevatia, Sethu Vijayakumar, Stefan Schaal
    On-line Learning for Humanoid Robot Systems. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:191-198 [Conf]
  4. Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal
    The Bayesian backfitting relevance vector machine. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  5. Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
    Bayesian regression with input noise for high dimensional data. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:937-944 [Conf]
  6. Sethu Vijayakumar, Stefan Schaal
    Locally Weighted Projection Regression: Incremental Real Time Learning in High Dimensional Space. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:1079-1086 [Conf]
  7. Auke Jan Ijspeert, Jun Nakanishi, Stefan Schaal
    Movement Imitation with Nonlinear Dynamical Systems in Humanoid Robots. [Citation Graph (0, 0)][DBLP]
    ICRA, 2002, pp:1398-1403 [Conf]
  8. Stefan Schaal, Christopher G. Atkeson
    Open Loop Stable Control Strategies for Robot Juggling. [Citation Graph (0, 0)][DBLP]
    ICRA (3), 1993, pp:913-918 [Conf]
  9. Stefan Schaal, Christopher G. Atkeson
    Memory-Based Robot Learning. [Citation Graph (0, 0)][DBLP]
    ICRA, 1994, pp:2928-2933 [Conf]
  10. Stefan Schaal, Christopher G. Atkeson, Sethu Vijayakumar
    Real-Time Robot Learning with Locally Weighted Statistical Learning. [Citation Graph (0, 0)][DBLP]
    ICRA, 2000, pp:288-293 [Conf]
  11. Tomohiro Shibata, Stefan Schaal
    Fast Learning of Biomimetic Oculomotor Control with Nonparametric Regression Networks. [Citation Graph (0, 0)][DBLP]
    ICRA, 2000, pp:3847-3854 [Conf]
  12. Gaurav Tevatia, Stefan Schaal
    Inverse Kinematics for Humanoid Robots. [Citation Graph (0, 0)][DBLP]
    ICRA, 2000, pp:294-299 [Conf]
  13. Sethu Vijayakumar, Stefan Schaal
    Fast and Efficient Incremental Learning for High-Dimensional Movement Systems. [Citation Graph (0, 0)][DBLP]
    ICRA, 2000, pp:1894-1899 [Conf]
  14. Narayanan U. Edakunni, Stefan Schaal, Sethu Vijayakumar
    Kernel Carpentry for Online Regression Using Randomly Varying Coefficient Model. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:762-767 [Conf]
  15. Auke Jan Ijspeert, Jun Nakanishi, Stefan Schaal
    Learning Attractor Landscapes for Learning Motor Primitives. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:1523-1530 [Conf]
  16. Stefan Schaal
    Learning from Demonstration. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:1040-1046 [Conf]
  17. Stefan Schaal, Christopher G. Atkeson
    Assessing the Quality of Learned Local Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:160-167 [Conf]
  18. Stefan Schaal, Christopher G. Atkeson
    From Isolation to Cooperation: An Alternative View of a System of Experts. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:605-611 [Conf]
  19. Stefan Schaal, Sethu Vijayakumar, Christopher G. Atkeson
    Local Dimensionality Reduction. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  20. Jo-Anne Ting, Aaron D'Souza, Kenji Yamamoto, Toshinori Yoshioka, Donna L. Hoffman, Lauren Sergio, Shinji Kakei, John Kalaska, Mitsuo Kawato, Peter Strick, Stefan Schaal
    Predicting EMG Data from M1 Neurons with Variational Bayesian Least Squares. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  21. Jan Peters, Stefan Schaal
    Learning Operational Space Control. [Citation Graph (0, 0)][DBLP]
    Robotics: Science and Systems, 2006, pp:- [Conf]
  22. Jo-Anne Ting, Michael Mistry, Jan Peters, Stefan Schaal, Jun Nakanishi
    A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics. [Citation Graph (0, 0)][DBLP]
    Robotics: Science and Systems, 2006, pp:- [Conf]
  23. Christopher G. Atkeson, Andrew W. Moore, Stefan Schaal
    Locally Weighted Learning. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Rev., 1997, v:11, n:1-5, pp:11-73 [Journal]
  24. Christopher G. Atkeson, Andrew W. Moore, Stefan Schaal
    Locally Weighted Learning for Control. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Rev., 1997, v:11, n:1-5, pp:75-113 [Journal]
  25. Stefan Schaal, Christopher G. Atkeson, Sethu Vijayakumar
    Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2002, v:17, n:1, pp:49-60 [Journal]
  26. Shinya Kotosaka, Stefan Schaal, Tomohiro Shibata
    Humanoid robot for brain research. [Citation Graph (0, 0)][DBLP]
    Advanced Robotics, 2000, v:14, n:5, pp:419-421 [Journal]
  27. Sethu Vijayakumar, Aaron D'Souza, Tomohiro Shibata, Jörg Conradt, Stefan Schaal
    Statistical Learning for Humanoid Robots. [Citation Graph (0, 0)][DBLP]
    Auton. Robots, 2002, v:12, n:1, pp:55-69 [Journal]
  28. Christopher G. Atkeson, Joshua G. Hale, Frank E. Pollick, Marcia Riley, Shinya Kotosaka, Stefan Schaal, Tomohiro Shibata, Gaurav Tevatia, Ales Ude, Sethu Vijayakumar, Mitsuo Kawato
    Using Humanoid Robots to Study Human Behavior. [Citation Graph (0, 0)][DBLP]
    IEEE Intelligent Systems, 2000, v:15, n:4, pp:46-56 [Journal]
  29. Christopher G. Atkeson, Stefan Schaal
    Memory-based neural networks for robot learning. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1995, v:9, n:3, pp:243-269 [Journal]
  30. Stefan Schaal, Christopher G. Atkeson
    Constructive Incremental Learning from Only Local Information. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1998, v:10, n:8, pp:2047-2084 [Journal]
  31. Sethu Vijayakumar, Aaron D'Souza, Stefan Schaal
    Incremental Online Learning in High Dimensions. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2005, v:17, n:12, pp:2602-2634 [Journal]
  32. Aude Billard, Stefan Schaal
    Special Issue on The Brain Mechanisms of Imitation Learning. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:3, pp:251-253 [Journal]
  33. Hiroyuki Miyamoto, Stefan Schaal, Francesca Gandolfo, Hiroaki Gomi, Yasuharu Koike, Rieko Osu, Eri Nakano, Yasuhiro Wada, Mitsuo Kawato
    A Kendama Learning Robot Based on Bi-directional Theory. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1996, v:9, n:8, pp:1281-1302 [Journal]
  34. Jun Nakanishi, Jay A. Farrell, Stefan Schaal
    Composite adaptive control with locally weighted statistical learning. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:1, pp:71-90 [Journal]
  35. Jun Nakanishi, Stefan Schaal
    Feedback error learning and nonlinear adaptive control. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:10, pp:1453-1465 [Journal]
  36. Ladan Shams, Mark J. Brady, Stefan Schaal
    Graph matching vs mutual information maximization for object detection. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2001, v:14, n:3, pp:345-354 [Journal]
  37. Tomohiro Shibata, Stefan Schaal
    Biomimetic gaze stabilization based on feedback-error-learning with nonparametric regression networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2001, v:14, n:2, pp:201-216 [Journal]
  38. Tomohiro Shibata, Hiromitsu Tabata, Stefan Schaal, Mitsuo Kawato
    A model of smooth pursuit in primates based on learning the target dynamics. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:3, pp:213-224 [Journal]
  39. Sethu Vijayakumar, Stefan Schaal
    Local Adaptive Subspace Regression. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 1998, v:7, n:3, pp:139-149 [Journal]
  40. Aude Billard, Yann Epars, Sylvain Calinon, Stefan Schaal, Gordon Cheng
    Discovering optimal imitation strategies. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2004, v:47, n:2-3, pp:69-77 [Journal]
  41. Jun Nakanishi, Jun Morimoto, Gen Endo, Gordon Cheng, Stefan Schaal, Mitsuo Kawato
    Learning from demonstration and adaptation of biped locomotion. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2004, v:47, n:2-3, pp:79-91 [Journal]
  42. Jo-Anne Ting, Evangelos Theodorou, Stefan Schaal
    Learning an Outlier-Robust Kalman Filter. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:748-756 [Conf]
  43. Jan Peters, Stefan Schaal
    Reinforcement learning by reward-weighted regression for operational space control. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:745-750 [Conf]
  44. Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
    Automatic Outlier Detection: A Bayesian Approach. [Citation Graph (0, 0)][DBLP]
    ICRA, 2007, pp:2489-2494 [Conf]
  45. Dimitris Pongas, Michael Mistry, Stefan Schaal
    A Robust Quadruped Walking Gait for Traversing Rough Terrain. [Citation Graph (0, 0)][DBLP]
    ICRA, 2007, pp:1474-1479 [Conf]
  46. Jun Nakanishi, Michael Mistry, Stefan Schaal
    Inverse Dynamics Control with Floating Base and Constraints. [Citation Graph (0, 0)][DBLP]
    ICRA, 2007, pp:1942-1947 [Conf]
  47. Jan Peters, Stefan Schaal
    Reinforcement Learning for Operational Space Control. [Citation Graph (0, 0)][DBLP]
    ICRA, 2007, pp:2111-2116 [Conf]
  48. Jun Nakanishi, Jay A. Farrell, Stefan Schaal
    Learning Composite Adaptive Control for a Class of Nonlinear Systems. [Citation Graph (0, 0)][DBLP]
    ICRA, 2004, pp:2647-2652 [Conf]

  49. Towards Machine Learning of Motor Skills. [Citation Graph (, )][DBLP]


  50. Applying the Episodic Natural Actor-Critic Architecture to Motor Primitive Learning. [Citation Graph (, )][DBLP]


  51. Policy Learning for Motor Skills. [Citation Graph (, )][DBLP]


  52. CB: Exploring neuroscience with a humanoid research platform. [Citation Graph (, )][DBLP]


  53. A Bayesian approach to empirical local linearization for robotics. [Citation Graph (, )][DBLP]


  54. Learning and generalization of motor skills by learning from demonstration. [Citation Graph (, )][DBLP]


  55. Biologically-inspired dynamical systems for movement generation: Automatic real-time goal adaptation and obstacle avoidance. [Citation Graph (, )][DBLP]


  56. Inverse dynamics control of floating base systems using orthogonal decomposition. [Citation Graph (, )][DBLP]


  57. Fast, robust quadruped locomotion over challenging terrain. [Citation Graph (, )][DBLP]


  58. Reinforcement learning of motor skills in high dimensions: A path integral approach. [Citation Graph (, )][DBLP]


  59. Reinforcement Learning for Parameterized Motor Primitives. [Citation Graph (, )][DBLP]


  60. Bayesian Kernel Shaping for Learning Control. [Citation Graph (, )][DBLP]


  61. Learning Movement Primitives. [Citation Graph (, )][DBLP]


  62. Towards compliant humanoids-an experimental assessment of suitable task space position/orientation controllers. [Citation Graph (, )][DBLP]


  63. Task space control with prioritization for balance and locomotion. [Citation Graph (, )][DBLP]


  64. A Kalman filter for robust outlier detection. [Citation Graph (, )][DBLP]


  65. Policy Gradient Methods for Robotics. [Citation Graph (, )][DBLP]


  66. Learning locomotion over rough terrain using terrain templates. [Citation Graph (, )][DBLP]


  67. Compliant quadruped locomotion over rough terrain. [Citation Graph (, )][DBLP]


  68. Robot gaze stabilization based on mimesis of oculomotor dynamics and vestibulocerebellar learning. [Citation Graph (, )][DBLP]


  69. A unifying framework for robot control with redundant DOFs. [Citation Graph (, )][DBLP]


  70. On-line learning and modulation of periodic movements with nonlinear dynamical systems. [Citation Graph (, )][DBLP]


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