We present a novel neurobiologically inspired hierarchical learning framework, Reinforcement Learning Optimal Control, which operates on two levels of abstraction and utilises a reduced number of ...

Reinforcement learning methods, on the other hand ... The problem of computing the optimal control strategy, which RL solves, is very difficult for some subtle reasons (often much more difficult ...

We demonstrate the design of low entropy state schemes that increase coherent control in quantum evolution through laser ... the structural noise of laser by evolving the system with an optimal ...

During training, the control software performed ... and it can figure out the optimal configuration for the equipment in a data center. Reinforcement learning copies a very simple principle ...

deep reinforcement learning, optimal control. Research is dedicated to the development of fundamental understanding in intelligent behaviors for autonomous systems across a wide range of tasks and ...

Teams has also used reinforcement learning to find the optimal jitter buffer for a video meeting ... s commonplace in the physical world but that robots relying on traditional control systems or ...

The objective function is the total velocity increment for the fuel-optimal orbital rendezvous ... art performance on a wide variety of complex control problems. Moreover, the advantage-weighted ...