Air Lift Challenge: a brief description:
Airlifts demand the delivery of large sets of cargo into areas of need under tight deadlines. Yet, there are many obstacles preventing timely delivery. Airports have limited capacity to process airplanes, thus limiting throughput and potentially creating bottlenecks. Weather disruptions can cause delays or force airplanes to re-route. Unexpected cargo may be staged for an urgent delivery.
This competition challenges participants to design agents that can plan and execute an airlift operation. Quick decision-making is needed to rapidly adjust plans in the face of disruptions along the delivery routes. The decision-maker will also need to incorporate new cargo delivery requests that appear during the episode. The primary objective is to meet the specified deadlines, with a secondary goal of minimizing cost. Solutions can incorporate machine learning, optimization, path planning heuristics, or any other technique.
Exercise Site: airliftchallenge.com (might be blocked on NIPR)
Solution Upload: codalab.lisn.upsaclay.fr/competitions/16103
Who would be a good fit for this competition?
- High Schoolers
- Undergrads
- Masters
- PhD’s
- Professors (able to use the simulator for school projects)
Who is currently participating in the competition?
- Students (advised by professors)