Paper-Conference

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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Gambit: An Autonomous Chess-Playing Robotic System
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Learning in Robotics using Bayesian Nonparametrics
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Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning
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Multiple-Target Reinforcement Learning with a Single Policy
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Ordinal classification of depression spatial hot-spots of prevalence
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PILCO: A Model-Based and Data-Efficient Approach to Policy Search
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State-Space Inference and Learning with Gaussian Processes
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