The core challenge in numerous real-world applications is to match an in...
Deep reinforcement learning (RL) agents are becoming increasingly profic...
Data augmentation is widely known as a simple yet surprisingly effective...
In this paper, we propose a novel implicit semantic data augmentation (I...
Model-free deep reinforcement learning (RL) algorithms have been widely ...
This paper investigates trajectory tracking problem for a class of
under...
Maximum entropy deep reinforcement learning (RL) methods have been
demon...
In this paper, we consider depth control problems of an autonomous under...