Systemische KI für Lernende Roboter

Page 46 of 49.

1. Hirotaka Hachiya; Takayuki Akiyama; Masashi Sugiyama; Jan Peters

   Adaptive importance sampling for value function approximation in off-policy reinforcement learning

   In: Neural Networks, Vol. 22, No. 10, Pages 1399-1410, Elsevier, 2009.

2. Jan Peters; Jun Morimoto; Russ Tedrake; Nicholas Roy

   Robot learning [TC Spotlight]

   In: IEEE Robotics & Automation Magazine, Vol. 16, No. 3, Pages 19-20, IEEE, 2009.

3. Matthew Hoffman; Nando de Freitas; Arnaud Doucet; Jan Peters

   An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward

   In: David A. Van Dyk; Max Welling (Hrsg.). Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics. …

4. Jan Peters; Michael N. Mistry; Firdaus E. Udwadia; Jun Nakanishi; Stefan Schaal

   A unifying framework for robot control with redundant DOFs

   In: Autonomous Robots, Vol. 24, No. 1, Pages 1-12, Springer, 2008.

5. Florian Steinke; Matthias Hein; Jan Peters; Bernhard Schölkopf

   Manifold-valued Thin-Plate Splines with Applications in Computer Graphics

   In: Computer Graphics Forum, Vol. 27, No. 2, Pages 437-448, The Eurographics Association and John Wiley & Sons Ltd. 2008.

6. Jan Peters; Stefan Schaal

   Learning to Control in Operational Space

   In: International Journal of Robotics Research (IJRR), Vol. 27, No. 2, Pages 197-212, Sage Publications, 2008.

7. Jun Nakanishi; Rick Cory; Michael N. Mistry; Jan Peters; Stefan Schaal

   Operational Space Control: A Theoretical and Empirical Comparison

   In: International Journal of Robotics Research (IJRR), Vol. 27, No. 6, Pages 737-757, Sage Publications, 2008.

8. Duy Nguyen-Tuong; Matthias W. Seeger; Jan Peters

   Computed torque control with nonparametric regression models

   In: American Control Conference. American Control Conference (ACC-2008), June 11-13, Seattle, WA, USA, Pages 212-217, IEEE, 2008.

9. Marc Peter Deisenroth; Jan Peters; Carl E. Rasmussen

   Approximate dynamic programming with Gaussian processes

   In: American Control Conference. American Control Conference (ACC-2008), June 11-13, Seattle, WA, USA, Pages 4480-4485, IEEE, 2008.

10. Duy Nguyen-Tuong; Jan Peters; Matthias W. Seeger; Bernhard Schölkopf

    Learning Inverse Dynamics: a Comparison

    In: 16th European Symposium on Artificial Neural Networks, Proceedings. European Symposium on Artificial Neural Networks, Computational Intelligence …

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