Harry Holt

Reachability-Informed Reinforcement Learning for Multi-Impulse Interplanetary Transfers

Reinforcement learning offers the prospect of a reusable sequential decision-making mechanism for spacecraft trajectory design, motivating policy interfaces that connect learned decisions to the underlying maneuver geometry. This paper develops Reachability Analysis-Informed Reinforcement Learning (RARL) for determinis...