
The authors propose a new computational problem called partially ordered top-quality planning, which allows specifying a subset of actions whose ordering in the plan is important, interpolating between the two extremes of considering all orders important or all orders unimportant.


coremsg

partially-preserving-action-orders-in-top-quality-planning


Partially Preserving Action Orders in Top-Quality Planning


title_rewrite


An iterative planning framework for multi-agent systems with hybrid state spaces enables continual improvement of solutions while efficiently using computational resources.


iterative-planning-framework-for-multi-agent-systems-in-energy-aware-uav-ugv-cooperative-task-site-assignments


Iterative Planning Framework for Multi-agent Systems in Energy-aware UAV-UGV Cooperative Task Site Assignments
