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Feedback Error Learning for Rhythmic Motor Primitives
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Hierarchical Learning of Motor Skills with Information-Theoretic Policy Search
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Imitation Learning by Model-based Probabilistic Trajectory Matching
Efficient skill acquisition is crucial for creating versatile robots. One intuitive way to teach a robot new tricks is to enable it to …
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Model-based Imitation Learning by Probabilistic Trajectory Matching
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Expectation Propagation in Gaussian Process Dynamical Systems
Rich and complex time-series data, such as those generated from engineering sys- tems, financial markets, videos or neural recordings …
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Learning Deep Belief Networks from Non-Stationary Streams
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Probabilistic Modeling of Human Dynamics for Intention Inference
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Solving Nonlinear Continuous State-Action-Observation POMDPs for Mechanical Systems with Gaussian Noise
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Toward Fast Policy Search for Learning Legged Locomotion
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A General Perspective on Gaussian Filtering and Smoothing: Explaining Current and Deriving New Algorithms
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