The use of Deep Reinforcement Learning (DRL) schemes has increased dramatically since
their first introduction in 2015. Though uses in many different applications are being found …

Machine learning (ML) is a branch of artificial intelligence that has been developing at a
dynamic pace in recent years. ML is also linked with Big Data, which are huge datasets that …

Navigation is a crucial challenge for mobile robots. Currently, deep reinforcement learning
has attracted considerable attention and has witnessed substantial development owing to its …

Abstract Machine learning algorithms are becoming popular nowadays in cyber security
applications like Intrusion Detection Systems (IDS). Most of these models are anticipated as …

In recent years, reinforcement learning (RL) systems have shown impressive performance
and remarkable achievements. Many achievements can be attributed to combining RL with …

This paper engages in a comprehensive investigation concerning the application of
Explainable Artificial Intelligence (xAI) within the context of deep learning and Artificial …

Artificial Intelligence (AI) systems have grown commonplace in modern life, with various
applications from customized suggestions to self-driving vehicles. As these systems get …

Artificial intelligence and cyber-physical systems (CPS) are two of the key technologies of
the future that are enabling major global shifts. However, most of the current …

We present a novel outdoor navigation algorithm to generate stable and efficient actions to
navigate a robot to reach a goal. We use a multi-stage training pipeline and show that our …

Backward chained behavior trees (BTs) are an approach to generate BTs through backward
chaining. Starting from the goal conditions for a task, this approach recursively expands …