Fleet Planning Under Demand and Fuel Price Uncertainty Using Actor-Critic Reinforcement Learning

Current state-of-the-art airline planning models are required to decrease models either in size or complexity due to computational limitations, limiting the <br/>operational applicability to problems of representative sizes. Models return suboptimal solutions, especially when confronted with factors of uncertainty. Considering the growing...