The current study proposes a unique algorithm for shortest trajectory creation based on q
learning. Major issues towards grid world problem are environment generalization. In Q …

Reinforcement learning (RL) comes from the self-learning theory. RL can autonomously get
optional results with the knowledge obtained from various conditions by interacting with …

In the midst of the outbreak, the public is flooded with information that is not necessarily true
where hoax messages and fear spread faster than valid information and positive messages …

Time series prediction has attracted attention of many researchers as well as practitioners
from different fields and many approaches have been proposed. Traditionally, sliding …

Autonomy and adaptability are key features of intelligent agents. Many applications of
intelligent agents, such as the control of ambient intelligence environments and autonomous …

Bayesian model-based reinforcement learning can be formulated as a partially observable
Markova decision process (POMDP) to provide a principled framework for optimally …