Miscellaneous

Journal Impact Factors and Conference Quality

We keep a series of pages on Journal Impact Factors and Conference Quality where we try to maintain the statistics that we can find on top venues.

• journal impact factors
• conference quality

Software: Implementation of Some of our Learning Methods

• Jens Kober created a basic MATLAB/Octave implementation of the PoWER algorithm: matlab_PoWER.zip. The required motor primitive code can be downloaded from

http://www-clmc.usc.edu/Resources/Software.

• Jens Kober created a basic MATLAB/Octave implementation of the motor primitives for hitting and batting [4]: hittingMP.m
• Gerhard Neumann developed the Reinforcement Learning Toolbox, a C++ software library for reinforcement learning. As it is already quite old it is lacking recent algorithms and is unfortunately no longer maintained.
• Jan Peters developed the policy gradient toolbox back in the days. It may be incomplete is no longer being maintained.
• Duy Nguyen-Tuong created Local-GP software that can be downloaded here.

Data Sets: From our Publications.

• Inverse dynamics data from Barrett WAM. An evaluation of this data can be found in the paper: Nguyen-Tuong, D.; Seeger, M.; Peters, J. (2009). Model Learning with Local Gaussian Process Regression, Advanced Robotics, 23, 15, pp.2015-2034  download [PDF]
• Inverse dynamics data from SARCOS. See the paper for more information: Nguyen-Tuong, D.; Peters, J. (2011). Incremental Sparsification for Real-time Online Model Learning, Neurocomputing, 74, 11, pp.1859-1867  download [PDF]