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基于深度强化学习的导弹姿态控制

浏览:205 发行时间:2024/6/9 21:33:00
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发行时间:2024.06.10
总页数:6
编辑:harlan
摘要:
2020 IEEE 16th International Conference on Control & Automation (ICCA) Oct 9-11, 2020 (Virtual) Sapporo, Hokkaido, Japan Missile Attitude Control Based on Deep Reinforcement Learning Bohao Li, Fei Ma and Yunjie Wu Abstract— Deep reinforcement learning (DRL) has been one of the research hotspots in the areas of control. In this paper, we focus on the study of missile attitude control system using DRL. An novel PID controller based on deep deterministic policy gradient(DDPG) algorithm is prese...