Reinforcement learning (RL) is a powerful type of artificial intelligence technology that can be used to learn strategies to optimally control large, complex systems such as manufacturing plants ...

A machine learning approach leverages nuclear microreactor symmetry to reduce training time when modeling power output ...

Reinforcement Learning. ... During training, the control software performed the maneuver over and over, ... and it can figure out the optimal configuration for the equipment in a data center. ...

Nonlinear optimal control problems are often solved with numerical methods that require knowledge of system's dynamics which may be difficult to infer, and that carry a large computational cost ...

Azure Machine Learning is also previewing cloud-based reinforcement learning offerings for data scientists and machine learning professionals. “We’ve come a long way in the last two years when we had ...

Using Reinforcement Learning to Find the Optimal Quantum Adiabatic Short Cut. Livia Guttieres (University of Chicago) Research Project Description. We demonstrate the design of low entropy state ...