Ai Master Thesis Student
Cologne, North Rhine-Westphalia, Germany
Titel: "Synergies of Artificial Intelligence and Simulations of Powertrain Systems" Grade: 1.0/1.0Tasks:- Supervised Learning using feedforward and Recurrent neural networks + Long short term memory units(LSTM's) - Unsupervised Learning using Self-organizing maps for clustering different levels of engine efficiency.- Reinforcement Learning using proximal policy optimization as the training algorithm and convolutional neural network for selecting the best possible actions for the given observations.Tools: Python, Tensorflow, Keras, Scikit-learn, Numpy/Scipy, Matplotlib, Unity3D, C Sharp