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Learning Inverse Dynamics: a Comparison., , , and . ESANN, page 13-18. (2008)Cognitive Fixed-Gain Amplify-and-Forward Relay Networks under Interference Constraints., , , and . IEICE Transactions, 96-B (1): 375-378 (2013)Model learning for robot control: a survey., and . Cognitive Processing, 12 (4): 319-340 (2011)Sparse online model learning for robot control with support vector regression., , and . IROS, page 3121-3126. IEEE, (2009)Active Learning in Gaussian Process State Space Model., , , , and . ECML/PKDD (3), volume 12977 of Lecture Notes in Computer Science, page 346-361. Springer, (2021)Fast greedy insertion and deletion in sparse Gaussian process regression, , , , and . Proceedings / 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015, page 101-106. Louvain-la-Neuve, Ciaco, (2015)Efficient sparsification for Gaussian process regression, , and . Advances in artificial neural networks, machine learning and computational intelligence : selected papers from the 23rd European Symposium on Artificial Neural Networks (ESANN 2015), 192, page 29-37. Amsterdam, Elsevier, (2016)Policy search for learning robot control using sparse data., , , , , , , and . ICRA, page 3882-3887. IEEE, (2014)Solving the 15-Puzzle Game Using Local Value-Iteration., , , and . SCAI, volume 257 of Frontiers in Artificial Intelligence and Applications, page 45-54. IOS Press, (2013)Incremental online sparsification for model learning in real-time robot control., and . Neurocomputing, 74 (11): 1859-1867 (2011)