A Ship Weather Routing Framework Based on the Dual-Mode Deep Reinforcement Learning

Ship navigation is strongly influenced by the ocean environment. Adverse sea environment not only increases fuel consumption but can also endanger navigation safety. For the challenge, a ship weather routing framework based on Deep Reinforcement Learning (DRL) is proposed. Due to limitations on the amount of data that can be uploaded, the replication package only contains the key code. The complete key code and data will be attached as additional attachments.