Learning strategies in table tennis using inverse reinforcement learning
Katharina Muelling(Max Planck Institute for Biological Cybernetics), Jan Peters(Technische Universität Darmstadt), Bernhard Schölkopf(Max Planck Society), Abdeslam Boularias(Max Planck Society), Betty J. Mohler(Max Planck Institute for Biological Cybernetics)
Cited by 70
Related Papers
Reinforcement learning in robotics: A survey
|The International Journal of Robotics Research|2013|3.1k
Comparing support vector machines with Gaussian kernels to radial basis function classifiers
|IEEE Transactions on Signal Processing|1997|1.4k
Toward Causal Representation Learning
|Proceedings of the IEEE|2021|994
Predicting time series with support vector machines
|Lecture notes in computer science|1997|984
Reinforcement learning of motor skills with policy gradients
|Neural Networks|2008|866