Reinforcement learning (RL) methods work in discrete time. In order to a...
Object detection is essential to many perception algorithms used in mode...
The quality of training datasets for deep neural networks is a key facto...
Hierarchical decomposition of control is unavoidable in large dynamical
...
We propose a framework for reinforcement learning (RL) in fine time
disc...
The subject of this paper is reinforcement learning. Policies are consid...