A Survey on Reinforcement Learning in Aviation Applications. (arXiv:2211.02147v2 [eess.SY] UPDATED)

Compared with model-based control and optimization methods, reinforcement
learning (RL) provides a data-driven, learning-based framework to formulate and
solve sequential decision-making problems. The RL framework has become
promising due to largely improved data availability and computing power in the
aviation industry. Many aviation-based applications can be formulated or
treated as sequential decision-making problems. Some of them are offline
planning problems, while others need to be solved online and are
safety-critical. In this survey paper, we first describe standard RL
formulations …

applications arxiv aviation reinforcement reinforcement learning survey