Reinforcement Learning (RL) is an effective method to solve stochastic sequential decision-
making problems. This is a problem description common to supply chain operations …

Model-free control strategies such as reinforcement learning have shown the ability to learn
control strategies without requiring an accurate model or simulator of the world. While this is …

In this thesis, data driven approaches to sequential decision making problems within
process systems engineering (PSE) are developed. Specifically, the use of model-free …

There is an increasing demand for robot teleoperation in tasks like large-scale machining
and demolition in remote and unstructured environments. When completing many …