Reinforcement learning comes from the animal learning theory. RL does not need prior knowledge, it can autonomously get optional policy with the knowledge obtai ...

To develop routes with minimal time, in this paper, we propose a novel deep reinforcement learning-based neural combinatorial optimization strategy. Specifically, we transform the online routing ...

Throughout their everyday lives, humans are typically required to make a wide range of decisions, which can impact their well ...

The cognitive turn carried out by the extended theory of mind, at this point, becomes self-explanatory: mental processes are not phenomena restricted to the brain and disconnected from the body and ...