We adapt reinforcement learning (RL) methods for continuous control to b...
We propose a framework for the design of feedback controllers that combi...
The carbon-capturing process with the aid of CO2 removal technology (CDR...
A significant portion of the effort involved in advanced process control...
Over the last ten years, we have seen a significant increase in industri...
Meta-learning is a branch of machine learning which aims to synthesize d...
Meta-learning is a branch of machine learning which trains neural networ...
Deep reinforcement learning (RL) is an optimization-driven framework for...
We introduce a method for learning provably stable deep neural network b...
Meta-learning is a branch of machine learning which aims to quickly adap...
Deep reinforcement learning (DRL) has seen several successful applicatio...
Reinforcement learning has been successfully applied to the problem of t...
On-line estimation plays an important role in process control and monito...