Panos Petsagkourakis's Projects
This repo will implement Bayesian optimization using PYRO
This repo implements the vanilla Branch and Bound technique to solve mixed integer optimization problem.
Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow
Real-time optimization using exploration strategies
Deep GPs built on top of TensorFlow/Keras and GPflow
Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes
The repository aims to built a framework for constructing pre-training ANN to duplicate MPC in order to then passed to RL algorithms
The Repository focuses on the development of tools and methods for parameter estimation using automatic diff
panos108.github.io/ppetsag/
This repo aims to train neural networks with pytorch. The data are normalized insede the class. The validation is performed automatically. The output model gets the unscaled data and returns the output unscaled (The scaling is performed inside). This way the user do not interact the scaling,; however the user can select to not use the default scaling and scale the data before the training
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
This repo contains the work regarding the stability analysis of Barrier MPC