  Recent machine learning algorithms dedicated to solving semi-linear PDEs are
improved by using different neural network architectures and different
parameterizations. These algorithms are compared to a new one that solves a
fixed point problem by using deep learning techniques. This new algorithm
appears to be competitive in terms of accuracy with the best existing
algorithms.
