REFORMA: Robust REinFORceMent Learning via Adaptive Adversary for Drones Flying under Disturbances
Hao-Lun Hsu,Haocheng Meng,Shaocheng Luo,Juncheng Dong,Vahid Tarokh,Miroslav Pajic,Hao-Lun Hsu,Haocheng Meng,Shaocheng Luo,Juncheng Dong,Vahid Tarokh,Miroslav Pajic
In this work, we introduce REFORMA, a novel robust reinforcement learning (RL) approach to design controllers for unmanned aerial vehicles (UAVs) robust to unknown disturbances during flights. These disturbances, typically due to wind turbulence, electromagnetic interference, temperature extremes and many other external physical interference, are highly dynamic and difficult to model. REFORMA can ...