Results 1 to 10 of about 72,882 (259)
A dynamic integrated scheduling method based on hierarchical planning for heterogeneous AGV fleets in warehouses. [PDF]
Front Neurorobot, 2022 In modern industrial warehouses, heterogeneous and flexible fleets of automated guided vehicles (AGVs) are widely used to improve transport efficiency. However, as their scale and limit of battery capacity increase, the complexity of dynamic scheduling ...
Hu E, He J, Shen S.
europepmc +2 more sources
Discovery of Hierarchical Representations for Efficient Planning
PLOS Computational Biology, 2018 Summary We propose that humans spontaneously organize environments into clusters of states that support hierarchical planning, enabling them to tackle challenging problems by breaking them down into sub-problems at various levels of abstraction. People constantly rely on such hierarchical presentations to accomplish tasks big and small –
Momchil S. Tomov +4 more
openaire +4 more sources
Gaze dynamics prior to navigation support hierarchical planning. [PDF]
PLoS OneThe task of planning future actions in the context of an uncertain world results in massive state spaces that preclude exhaustive search and other strategies explored in the domains of both human decision-making and computational agents.
Gordon J, Chuang J, Pezzulo G.
europepmc +2 more sources
Hierarchical Plan Repair via Plan Recognition and Plan Correction
The International FLAIRS Conference ProceedingsHierarchical planning extends classical planning by introducing a hierarchy of tasks describing how tasks decompose into subtasks until primitive tasks -- actions -- forming a plan are obtained. Plan repair deals with plans that failed to execute due to a sudden state change.
Kristýna Pantůčková, Roman Barták
openaire +4 more sources
Hierarchical Production Planning [PDF]
International Journal of Clothing Science and Technology, 2001 Hierarchical production planning basically involves the decomposition of decision problems in a production environment and the design of a sequential solution procedure, the required information and the organizational systems. A hierarchical decision process in a decentralized organization implies that upper level decisions are made first to impose ...
Melissa R. Bowers, Anurag Agarwal
+5 more sources
The PANDA Framework for Hierarchical Planning [PDF]
KI - Künstliche Intelligenz, 2021 AbstractDuring the last years, much progress has been made in hierarchical planning towards domain-independent systems that come with sophisticated techniques to solve planning problems instead of relying on advice in the input model. Several of these novel methods have been integrated into thePANDA framework, which is a software system to reason about
Daniel Höller +3 more
openaire +1 more source
Lessons Learned from the CYK Algorithm for Parsing-based Verification of Hierarchical Plans
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2023 Verification of hierarchical plans deals with the problem of whether an action sequence is causally consistent and can be obtained by a decomposition of a goal task.
Simona Ondrčková +3 more
doaj +1 more source
Quality-Oriented Hybrid Path Planning Based on A* and Q-Learning for Unmanned Aerial Vehicle
IEEE Access, 2022 Unmanned aerial vehicles (UAVs) are playing an increasingly important role in people’s daily lives due to their low cost of operation, low requirements for ground support, high maneuverability, high environmental adaptability, and high safety. Yet
Dongcheng Li +4 more
doaj +1 more source
The Application of “Big Data Analysis + Hierarchical Medical” Model in the Context of the COVID-19 [PDF]
E3S Web of Conferences, 2021 The COVID-19 epidemic has swept the world, causing serious impact and influence on economic development and residents' life in countries all over the world.
Yang Xingyu +5 more
doaj +1 more source
A Hierarchical Goal-Biased Curriculum for Training Reinforcement Learning
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Hierarchy and curricula are two techniques commonly used to improve training for Reinforcement Learning (RL) agents. Yet few works have examined how to leverage hierarchical planning to generate a curriculum for training RL Options.
Sunandita Patra +6 more
doaj +1 more source