CogSci2016

Repository aiming at reproducibility of experiments and analysis of results provided in CogSci2016 conference paper.

We provide source code of the experiments (Licence GPLv3), and data analysis.

We do not provide data as it is 300GB

We explain how to re-generate it (generating the whole data is 6 conditions x 100 trials x 30 minutes).

Paper

Here is the CogSci paper.

Video

Here is a video of the setup.

Tutorial on Active Model Babbling

Here is a Jupyter Notebook explaining the Active Model Babbling algorithm with comparisons to other algorithms: notebook.

Experiments

• notebook describing how to run the experiments

Analysis

• wave analysis notebook

Code Dependencies

• Explauto on branch master, this commit
• pydmps on branch master, this commit