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Exploring Instance Generation for Automated Planning
[article]
2020
arXiv
pre-print
Preserved Fulltext
We first explore the difficulties of adapting this approach to generate instances starting from problem specifications written in PDDL, the de-facto standard language of the automated planning community ...
Current methods for automatic generation of instances for Constraint Programming problems start with a declarative model and search for instances with some desired attributes, such as hardness or size. ...
Recently, a new approach for fully automated instance generation has been proposed for CP [1, 2] . ...
arXiv:2009.10156v1
fatcat:7uvnocc5zffurczhe4mzta3pve
A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances
[article]
2021
arXiv
pre-print
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Nevertheless, other combinatorial domains, such as AI planning, still pose considerable challenges for RL approaches. ...
Our RL agent can solve hard instances that are far out of reach for any previous state-of-the-art Sokoban solver. ...
Acknowledgements We thank the reviewers for valuable feedback. ...
arXiv:2110.00898v1
fatcat:2737p3wcvfaxvcmti5kgxh4tk4
Human vs. Algorithmic Path Planning for Search and Rescue by Robot Teams
2010
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
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These considerations are missing from automated path planning algorithms leading to differences in search patterns and exploration biases between human and automatically generated paths. ...
Finally, the impact of automated planning on related victim identification and marking tasks is compared for automated paths and paths generated by previous participants. ...
of automated and human generated paths. ...
doi:10.1177/154193121005400423
fatcat:tvi4pxnyb5cuzhqkorgecigo6e
Guiding Robot Exploration in Reinforcement Learning via Automated Planning
[article]
2021
arXiv
pre-print
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Reinforcement learning (RL) enables an agent to learn from trial-and-error experiences toward achieving long-term goals; automated planning aims to compute plans for accomplishing tasks using action knowledge ...
The action knowledge is used for generating artificial experiences from an optimistic simulation. ...
For instance, Ng and Petrick (2019) recently developed an algorithm that generates and updates logical-probabilistic action models of au-tomated planning using model-based RL. ...
arXiv:2004.11456v2
fatcat:jehwm6urbvdcxiedrsnpgehdzm
Discovering and Proving Invariants in Answer Set Programming and Planning
[article]
2019
arXiv
pre-print
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Answer set programming (ASP) and planning are two widely used paradigms for solving logic programs with declarative programming. ...
In my PhD studies, I explore how input programs can be improved and verified automatically as a means to support programmers. ...
However, learned constraints are only valid for a currently solved problem instance and do not carry over to similar instances. ...
arXiv:1905.03196v1
fatcat:3tc5jy4oxjdyxm2hyrlkbxbnje
SP-0629: Automated plan generation
2015
Radiotherapy and Oncology
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3rd ESTRO Forum 2015 S305 constraints that can lead to the best plan accounting for the anatomical specificity of each single patient. ...
the other side, based on that knowledge, to generate the proper dose-volume constraints to be used in the optimization (inverse planning) process. ...
To ensure generation of highquality treatment plans and personalised healthcare, treatment plan generation should be automated. ...
doi:10.1016/s0167-8140(15)40621-8
fatcat:6ikkfb6oyzb2dhibzycxskkfri
Steels: Data Exploration for Discovery and Data-Sharing
[chapter]
2011
Advanced Steels
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READ aims to reduce the time required for exploration and understanding of a dataset from days to minutes. ...
The key idea behind READ is to decompose the exploration process into components that can be independently specified and automated. ...
READ uses automated planning technologies for workflow and analytic composition that result in the creation of models. ...
doi:10.1007/978-3-642-17665-4_16
fatcat:aouzjiz5ozdurf6xoaox7iqusq
Exploring the Impact of ICT in CPFR: A Case Study of an APS System in a Norwegian Pharmacy Supply Chain
[chapter]
2013
IFIP Advances in Information and Communication Technology
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This study aims at exploring how ICT affects CPFR with focus on information flows in planning and control processes. ...
Process changes are investigated in view of enhanced information, automated processes and organizational transformation. ...
However, CPFR may be supported also by other types of ICT applications including for instance automated replenishment systems, advanced planning and scheduling (APS) systems, collaborative software and ...
doi:10.1007/978-3-642-40361-3_16
fatcat:ayqnfi2cw5aozghlrf3metigni
Knowledge Reformulation and Deception as a Defense Against Automated Cyber Adversaries
2022
Proceedings of the ... International Florida Artificial Intelligence Research Society Conference
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Leveraging automated planning has been shown to be advantageous for automating network penetration testing, providing a foundation to generate intelligent approaches to attacking a target system. ...
In this paper, we investigate how we can leverage ideas from the deception community to reduce the automated planning capacity of an actual attacker. ...
Results, for each of the scenarios, include all the 25 instances generated for each of the 3 tested problems. The maximum coverage is therefore 75. ...
doi:10.32473/flairs.v35i.130675
fatcat:ea3kmosskjgxhabtzm6rkyrlru
Automated lattice data generation
2018
EPJ Web of Conferences
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We discuss how this automation can be accomplished using Taxi, a minimal Python-based workflow manager built for generating lattice data. We present a case study demonstrating this technology. ...
In practice, most of this procedure can be automated with the use of a workflow manager. ...
Generating this volume of data without significant automation proved logistically intractable, leading us to explore workflow managers. ...
doi:10.1051/epjconf/201817509009
fatcat:5hjaixpdmvcxtlpa4xoubvoywe
Engineering Knowledge for Automated Planning
2017
Proceedings of the Knowledge Capture Conference on - K-CAP 2017
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Both these components are used by automated planning engines for reasoning, in order to synthesize a solution plan. ...
Automated planning is a prominent Artificial Intelligence challenge, as well as being a common capability requirement for intelligent autonomous agents. ...
Automated planning has been successfully applied for decades in several areas, including space exploration [1] , machine tool calibration [27] , and urban traffic control [25] to mention a few. ...
doi:10.1145/3148011.3148012
dblp:conf/kcap/McCluskeyVV17
fatcat:wcywp7bkxbey3pyip43mlrxqsq
SP-0630: For the motion
2015
Radiotherapy and Oncology
Preserved Fulltext
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3rd ESTRO Forum 2015 S305 constraints that can lead to the best plan accounting for the anatomical specificity of each single patient. ...
the other side, based on that knowledge, to generate the proper dose-volume constraints to be used in the optimization (inverse planning) process. ...
To ensure generation of highquality treatment plans and personalised healthcare, treatment plan generation should be automated. ...
doi:10.1016/s0167-8140(15)40622-x
fatcat:tsk7vqqgzjcyxff5ze5qgod6vi
A Guide to Portfolio-Based Planning
[chapter]
2012
Lecture Notes in Computer Science
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Such results let suppose that future challenges of Automated Planning community will converge on designing different approaches for combining existing planning algorithms. ...
In the recent years the field of automated planing has significantly advanced and several powerful domain-independent planners have been developed. ...
We are confident that these techniques, only recently applied in Automated Planning, will lead to further significant improvements in the close future. ...
doi:10.1007/978-3-642-35455-7_6
fatcat:tsfirbpxwbawte2kel6ofqtp54
SP-0631: Against the motion
2015
Radiotherapy and Oncology
Preserved Fulltext
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The file type is application/pdf.
3rd ESTRO Forum 2015 S305 constraints that can lead to the best plan accounting for the anatomical specificity of each single patient. ...
the other side, based on that knowledge, to generate the proper dose-volume constraints to be used in the optimization (inverse planning) process. ...
To ensure generation of highquality treatment plans and personalised healthcare, treatment plan generation should be automated. ...
doi:10.1016/s0167-8140(15)40623-1
fatcat:e3kxzic7pbdgpn25eoykex7x7u
Automatic Customization Framework for Efficient Vehicle Routing System Deployment
[chapter]
2017
Computational Methods in Applied Sciences
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Handling all the factors may even be impossible for the human planner [21] , which has spawned an interest in commercial automated route planning systems. ...
We propose an automated configuration workflow for vehicle routing system and data flow customization, which provides the necessary basis for more experimental work on the subject. ...
No customization framework for the needed automation methods has existed, and their interaction within VRSs has not been previously explored. ...
doi:10.1007/978-3-319-54490-8_8
fatcat:lrnf6ara7jdc7ddc3ded6ztryu
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