Results 31 to 40 of about 5,882,386 (325)

Hierarchical Task Network Planning Based Attack Path Discovery [PDF]

open access: yesJisuanji kexue, 2023
Attack path discovery is a critical task for cyber asset security assessment.The existing artificial intelligence-based planning for attack path discovery method is favored by security practitioners due to its rich modeling language and complete planning
WANG Zibo, ZHANG Yaofang, CHEN Yilu, LIU Hongri, WANG Bailing, WANG Chonghua
doaj   +1 more source

Lilotane: A Lifted SAT-based Approach to Hierarchical Planning

open access: yesJournal of Artificial Intelligence Research, 2021
One of the oldest and most popular approaches to automated planning is to encode the problem at hand into a propositional formula and use a Satisfiability (SAT) solver to find a solution.
Dominik Schreiber
semanticscholar   +1 more source

HPHS: Hierarchical Planning based on Hybrid Frontier Sampling for Unknown Environments Exploration [PDF]

open access: yesIEEE/RJS International Conference on Intelligent RObots and Systems
Rapid sampling from the environment to acquire available frontier points and timely incorporating them into subsequent planning to reduce fragmented regions are critical to improve the efficiency of autonomous exploration.
Shijun Long   +4 more
semanticscholar   +1 more source

HDDL: An Extension to PDDL for Expressing Hierarchical Planning Problems

open access: yesAAAI Conference on Artificial Intelligence, 2020
The research in hierarchical planning has made considerable progress in the last few years. Many recent systems do not rely on hand-tailored advice anymore to find solutions, but are supposed to be domain-independent systems that come with sophisticated ...
D. Höller   +6 more
semanticscholar   +1 more source

Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving [PDF]

open access: yesIEEE/RJS International Conference on Intelligent RObots and Systems, 2022
We demonstrate the first large-scale application of model-based generative adversarial imitation learning (MGAIL) to the task of dense urban self-driving.
Eli Bronstein   +16 more
semanticscholar   +1 more source

Föreställningar om kunskap och lärande i lärares planeringssamtal i matematik och historia

open access: yesUtbildning & Lärande, 2023
This article reports a study of teachers’ lesson planning in a collegial setting. The school employed scheduled time every week for team planning in different school subjects. In this article, 44 planning sessions in Mathematics and History are analysed
Ann-Christin Randahl   +3 more
doaj   +1 more source

A framework for health care planning and control [PDF]

open access: yes, 2011
Rising expenditures spur health care organizations to organize their processes more efficiently and effectively. Unfortunately, health care planning and control lags far behind manufacturing planning and control.
Hans, Erwin W.   +2 more
core   +3 more sources

Hierarchical Path-Planning for Mobile Robots Using a Skeletonization-Informed Rapidly Exploring Random Tree*

open access: yesApplied Sciences, 2020
An efficient, hierarchical, two-dimensional (2D) path-planning method for large complex environments is presented in this paper. For mobile robots moving in 2D environments, conventional path-planning algorithms employ single-layered maps; the proposed ...
Hyejeong Ryu
doaj   +1 more source

Hi-Val: Iterative Learning of Hierarchical Value Functions for Policy Generation [PDF]

open access: yes, 2019
Task decomposition is effective in manifold applications where the global complexity of a problem makes planning and decision-making too demanding. This is true, for example, in high-dimensional robotics domains, where (1) unpredictabilities and modeling
D Silver   +9 more
core   +1 more source

HIERARCHICAL PATH PLANNING FOR WALKING (ALMOST) ANYWHERE [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
Computerized path planning, not constrained to transportation networks, may be useful in a range of settings, from search and rescue to archaeology. This paper develops a method for general path planning intended to work across arbitrary distances and at
K. Landmark, E. Messel
doaj   +1 more source

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