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analysis
analysis
 
 
log
log
 
 
training_data
training_data
 
 
01_CreateTrainingData.ipynb
01_CreateTrainingData.ipynb
 
 
02_TrainLSTM.ipynb
02_TrainLSTM.ipynb
 
 
03_TestModelNoPlanning.ipynb
03_TestModelNoPlanning.ipynb
 
 
04_CompareModelsNoPlanning.ipynb
04_CompareModelsNoPlanning.ipynb
 
 
05_ExperimentGroundtruth.ipynb
05_ExperimentGroundtruth.ipynb
 
 
06_ExperimentModels.ipynb
06_ExperimentModels.ipynb
 
 
07_ExAnalysisGroundtruth.ipynb
07_ExAnalysisGroundtruth.ipynb
 
 
08_ExAnalysisModels.ipynb
08_ExAnalysisModels.ipynb
 
 
README.md
README.md
 
 
RI2_Report_Structure_Learning_Yilmaz.pdf
RI2_Report_Structure_Learning_Yilmaz.pdf
 
 
ce_planner.py
ce_planner.py
 
 
ex_groundtruth.py
ex_groundtruth.py
 
 
ex_models.py
ex_models.py
 
 
reacher_def.py
reacher_def.py
 
 
rot_reacher_humanlike.xml
rot_reacher_humanlike.xml
 
 
train_lstm.py
train_lstm.py
 
 
utils.py
utils.py
 
 

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Structure-Learning-DRL-Model

This project was part of the second Research Internship in the M.Sc. Neuroscience Program at the University of Freiburg. Supervisor: Joschka Boedecker, Assistant Professor and head of Neurorobotics, Dep. of Computer Science, University of Freiburg.

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tensorflow, gym, mujoco-py (v1.50.1.68), pandas, seaborn, jupyter

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