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).

Here is the CogSci paper.

Here is a video of the setup.

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

• notebook describing how to run the experiments

• wave analysis notebook

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