First published · Last updated
Scheduling heterogeneous unmanned surface vessels via online deep reinforcement learning-driven multi-objective meta-heuristics
Journal article presenting a method for scheduling heterogeneous unmanned surface vessels using online deep reinforcement learning-driven multi-objective meta-heuristics. Publisher listed as Elsevier BV and no further details were provided in the supplied source data.
Categories: technology, science-and-space, travel-and-transportation
Generated scores
Scores are based on the cited reporting and use a 1–10 scale. Read the methodology.
- Confidence
- 2/10
- Geographic reach
- 1/10
- Global importance
- 3/10
- Impact magnitude
- 2/10
- Positivity
- 6/10
- Urgency
- 1/10
Why it matters
The research could inform development of autonomous maritime scheduling and operations.

