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Exploring Instance Generation for Automated Planning [article]

Özgür Akgün, Nguyen Dang, Joan Espasa, Ian Miguel, András Z. Salamon, Christopher Stone
2020 arXiv   pre-print
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]

Dieqiao Feng, Carla P. Gomes, Bart Selman
2021 arXiv   pre-print
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

Shih-Yi Chien, Huadong Wang, Michael Lewis
2010 Proceedings of the Human Factors and Ergonomics Society Annual Meeting  
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]

Yohei Hayamizu, Saeid Amiri, Kishan Chandan, Keiki Takadama, Shiqi Zhang
2021 arXiv   pre-print
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]

Patrick Lühne
2019 arXiv   pre-print
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

S. Breedveld
2015 Radiotherapy and Oncology  
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]

Guoquan Liu
2011 Advanced Steels  
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]

Maria Kollberg Thomassen, Heidi Dreyer, Patrik Jonsson
2013 IFIP Advances in Information and Communication Technology  
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

Ron Alford, Lukas Chrpa, Mauro Vallati, Andy Applebaum
2022 Proceedings of the ... International Florida Artificial Intelligence Research Society Conference  
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

Venkitesh Ayyar, Daniel C. Hackett, William I. Jay, Ethan T. Neil, M. Della Morte, P. Fritzsch, E. Gámiz Sánchez, C. Pena Ruano
2018 EPJ Web of Conferences  
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

Thomas L. McCluskey, Tiago S. Vaquero, Mauro Vallati
2017 Proceedings of the Knowledge Capture Conference on - K-CAP 2017  
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

P. Scherer
2015 Radiotherapy and Oncology  
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]

Mauro Vallati
2012 Lecture Notes in Computer Science  
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

A. Leong
2015 Radiotherapy and Oncology  
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]

Jussi Rasku, Tuukka Puranen, Antoine Kalmbach, Tommi Kärkkäinen
2017 Computational Methods in Applied Sciences  
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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