祝贺卢峻森同学论文获 7th IEEE Conference on Advanced Robotics & Mechatronics (ICARM) 最佳会议论文奖！
卢峻森 题为 “Strategy Generation Based on DDPG with Prioritized Experience Replay for UCAV” 的论文获得《7th IEEE Conference on Advanced Robotics & Mechatronics (ICARM)》最佳会议论文奖。该论文摘要如下：
Unmanned combat aerial vehicles are becoming essential participants in future air-combat scenarios, while the optimal control strategy remains a great challenge due to the high dynamics of the aerial vehicles themselves as well as the environmental uncertainties in air-combat. Based on a deep deterministic policy gradient algorithm framework, an air combat decision-making strategy is designed and implemented, and further a prioritized experience replay method is proposed for the proposed algorithm to further improve the efﬁciency in the training process. Simulation experiments show that, at much reduced training cost, the proposed approach achieves superior air combat performance with fast convergence.