barrier

bayesian_opt_pyro

This repo will implement Bayesian optimization using PYRO

bnbpy

This repo implements the vanilla Branch and Bound technique to solve mixed integer optimization problem.

chemical_vae

Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow

ddpg

detr

gaussian-process-scenario-propagation-with-gpy

gp-rto-ei

Real-time optimization using exploration strategies

gp_opt_torch

gpflux

Deep GPs built on top of TensorFlow/Keras and GPflow

lyapunov-learning

Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes

mbdoe-total

model-predictive-control-for-batch-and-continuous

The repository aims to built a framework for constructing pre-training ANN to duplicate MPC in order to then passed to RL algorithms

multi-objective-bayesian-opt

parameter_estimation_tools

The Repository focuses on the development of tools and methods for parameter estimation using automatic diff

ppetsag

panos108.github.io/ppetsag/

rl_nonsmooth

simpletorch

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

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

stability_analysis_barrier_mpc

This repo contains the work regarding the stability analysis of Barrier MPC

turbo