Learning interaction for collaborative tasks with probabilistic movement primitives
Guilherme Maeda(Preferred Networks (Japan)), Gerhard Neumann(Karlsruhe Institute of Technology), Heni Ben Amor(Arizona State University), Rudolf Lioutikov(Technical University of Darmstadt), Jan Peters(Technische Universität Darmstadt), Marco Ewerton(Technical University of Darmstadt)
Cited by 92
Related Papers
Reinforcement learning in robotics: A survey
|The International Journal of Robotics Research|2013|3.1k
Reinforcement learning of motor skills with policy gradients
|Neural Networks|2008|866
Natural Actor-Critic
|Neurocomputing|2008|751
Policy Gradient Methods for Robotics
|Unknown|2006|520
Model learning for robot control: a survey
|Cognitive Processing|2011|503