Active exploration for robot parameter selection in episodic reinforcement learning
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[1] Richard Bellman,et al. Adaptive Control Processes: A Guided Tour , 1961, The Mathematical Gazette.
[2] Ruzena Bajcsy,et al. Active Learning for Vision-Based Robot Grasping , 2005, Machine Learning.
[3] Ruben Martinez-Cantin. Active Map Learning for Robots: Insights into Statistical Consistency , 2008 .
[4] R. Agrawal. The Continuum-Armed Bandit Problem , 1995 .
[5] Justus H. Piater,et al. Probabilistic Pose Recovery Using Learned Hierarchical Object Models , 2009, ICVW.
[6] Andreas Krause,et al. Gaussian Process Bandits without Regret: An Experimental Design Approach , 2009, ArXiv.
[7] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[8] Rémi Munos,et al. Algorithms for Infinitely Many-Armed Bandits , 2008, NIPS.
[9] Dorin Comaniciu,et al. Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[10] Nicolas Pugeault,et al. Early cognitive vision: feedback mechanisms for the disambiguation of early visual representation , 2008 .
[11] Peter Auer,et al. Improved Rates for the Stochastic Continuum-Armed Bandit Problem , 2007, COLT.
[12] Danica Kragic,et al. Birth of the Object: Detection of Objectness and Extraction of Object Shape through Object-Action complexes , 2008, Int. J. Humanoid Robotics.
[13] Zoubin Ghahramani,et al. Sparse Gaussian Processes using Pseudo-inputs , 2005, NIPS.
[14] Peter Auer,et al. Finite-time Analysis of the Multiarmed Bandit Problem , 2002, Machine Learning.
[15] Robert D. Kleinberg. Nearly Tight Bounds for the Continuum-Armed Bandit Problem , 2004, NIPS.
[16] Eli Upfal,et al. Multi-Armed Bandits in Metric Spaces ∗ , 2008 .
[17] Peter Auer,et al. Using upper confidence bounds for online learning , 2000, Proceedings 41st Annual Symposium on Foundations of Computer Science.
[18] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[19] Antonio Morales,et al. An active learning approach for assessing robot grasp reliability , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).