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Deisenroth, Marc - Department of Computer Science and Engineering, University of Washington at Seattle
Faculty of Informatics Institute for Anthropomatics
Analytic Moment-based Gaussian Process Filtering Keywords: Gaussian process, approximate inference, nonlinear dynamical system, Gaussian filtering
Reinforcement Learning in Computational and Biological Systems Marc Deisenroth (CUED), Carl Rasmussen (CUED), Jan Peters (MPI)
Gaussian Process Dynamic Programming
Reducing Model Bias in Reinforcement Learning Marc Peter Deisenroth
Analytic Moment-based Gaussian Process Filtering Marc Peter Deisenroth1
Dynamic Programming with Gaussian Process Models Marc P. Deisenroth1
Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning
State-Space Inference and Learning with Gaussian Processes Ryan Turner1
Technical Report UW-CSE-10-06-01 A Practical and Conceptual Framework for
Multiple-Target Reinforcement Learning with a Single Policy Marc Peter Deisenroth marc@cs.uw.edu
PILCO: A Model-Based and Data-Efficient Approach to Policy Search
Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning
Reducing Model Bias in Reinforcement Learning
Learning in Robotics using Bayesian Nonparametrics Marc Peter Deisenroth1,2
Robust Filtering and Smoothing with Gaussian Processes Marc Peter Deisenrotha,b,
