Experimental design and (multi-objective) bayesian optimization.

Toolbox for Bayesian Optimization and Model-Based Optimization in R

Lightweight tools for experimental design and multi-objective optimization.

Bayesian optimization in PyTorch

A highly efficient implementation of Gaussian Processes in PyTorch

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.