2 papers
cs.RO2024
Interpretable DRL-based Maneuver Decision of UCAV Dogfight
Haoran Han, Jian Cheng, Maolong Lv
This paper proposes a three-layer unmanned combat aerial vehicle (UCAV) dogfight frame where Deep reinforcement learning (DRL) is responsible for high-level maneuver decision. A fo…
cs.LG2023
Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System
Ruining Zhang, Haoran Han, Maolong Lv +2
Extensive utilization of deep reinforcement learning (DRL) policy networks in diverse continuous control tasks has raised questions regarding performance degradation in expansive s…