Deep reinforcement learning has produced many success stories in recent years. Some
example fields in which these successes have taken place include mathematics, games …

Driven by the recent technological advancements within the field of artificial intelligence
research, deep learning has emerged as a promising representation learning technique …

Reinforcement learning (RL) allows an agent to solve sequential decision-making problems
by interacting with an environment in a trial-and-error fashion. When these environments are …

Autonomous maneuver decision making is the core of intelligent warfare, which has become
the main research direction to enable unmanned aerial vehicles (UAVs) to independently …

The drug repurposing of known approved drugs (eg, lopinavir/ritonavir) has failed to treat
SARS-CoV-2-infected patients. Therefore, it is important to generate new chemical entities …

Unmanned aerial vehicle (UAV) navigation plays a crucial role in its ability to perform
autonomous missions in complex environments. Most of the existing reinforcement learning …

In order to enhance the energy efficiency of unmanned aerial vehicles (UAVs) during flight
operations in mountainous terrain, this research paper proposes an improved particle …

With the development of unmanned aerial vehicle (UAV) and artificial intelligence (AI)
technology, Intelligent UAV will be widely used in future autonomous aerial combat …

Penetration testing is an effective way to test and evaluate cybersecurity by simulating a
cyberattack. However, the traditional methods deeply rely on domain expert knowledge …