The Maritime Shipping Competition (MSC) at AAMAS 2025 introduced a novel challenge focused on autonomous decision-making in maritime logistics. Participants developed agents capable of bidding for cargoes in sequential reverse auctions and scheduling transportation under uncertainty. Using the Maritime Agent-Based Logistics Emulator (MABLE), the competition simulated tramp trade shipping markets with heterogeneous fleets and dynamic cargo opportunities. Agents were evaluated across multiple scenarios varying in fleet composition and operational constraints. The competition and the entries submitted by the participating teams highlight the challenges and complexity of maritime transportation, and encourage further research in this important area.
Buermann et al. (Mon,) studied this question.