To reach a higher level of autonomy for unmanned combat aerial vehicle (UCAV) in air
combat games, this paper builds an autonomous maneuver decision system. In this system …

Multi-aircraft cooperation is the key part of air combat, and how to deal with the complex
cooperation relationship between multi-entities is the essential problem to be solved …

Beyond-visual-range (BVR) engagement becomes more and more popular in the modern
air battlefield. The key and difficulty for pilots in the fight is maneuver planning, which reflects …

In the area of artificial intelligence, deep reinforcement learning has grown in significance. It
has accomplished extraordinary feats and offers a fresh approach to previously challenging …

In a one‐on‐one air combat game, the opponent's maneuver strategy is usually not
deterministic, which leads us to consider a variety of opponent's strategies when designing …

Based on deep reinforcement learning, an intelligent tactical decision method is proposed to
solve the problem of Unmanned Combat Aerial Vehicle (UCAV) air combat decision-making …

The Autonomous Air Combat technique has been a lasting research topic for decades.
However, no complete solutions seem to have appeared because of the highly dynamic and …

A cooperative maneuver decision method for multiple unmanned aerial vehicles is proposed
to address the close-range air combat problem in this article. As the perfect information of …

Autonomous maneuvering decisions of unmanned aerial vehicle (UAV) in short-range air
combat remain a challenging research topic, and a decision method based on an improved …

Abstract Unmanned Combat Aerial Vehicles (UCAVs) is becoming a crucial platform to
perform dangerous missions with the ability of autonomy and intelligence in making …