Maneuver Decision-Making for Autonomous Air Combat Based on FRE-PPO
نویسندگان
چکیده
Maneuver decision-making is the core of autonomous air combat, and reinforcement learning a potential ideal approach for addressing problems. However, when used maneuver it often suffers from awful training efficiency poor performance decision-making. In this paper, an combat method based on final reward estimation proximal policy optimization proposed to solve above First, environment aircraft missile models constructed, intermediate are designed. Second, replace original advantage function surrogate objective improve learning. Third, sampling according efficiency. Finally, in self-play framework train agents Simulations show that effective efficient.
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ژورنال
عنوان ژورنال: Applied sciences
سال: 2022
ISSN: ['2076-3417']
DOI: https://doi.org/10.3390/app122010230