Creating Autonomous Multi-Object Safe Control via Different Forms of Neural Constraints of Dynamic Programming

J Lisowski - Electronics, 2024 - mdpi.com
The aim of this work, which is an extension of previous research, is a comparative analysis
of the results of the dynamic optimization of safe multi-object control, with different …

Approaches to the Algorithmic Allocation of Public Resources: A Cross-disciplinary Review

S Esnaashari, J Bright, J Francis, Y Hashem… - arXiv preprint arXiv …, 2023 - arxiv.org
Allocation of scarce resources is a recurring challenge for the public sector: something that
emerges in areas as diverse as healthcare, disaster recovery, and social welfare. The …

Modelling a major maritime disaster scenario using the universal modelling framework for sequential decisions

M Rempel - Safety science, 2024 - Elsevier
This article examines a major maritime disaster scenario in which a large number of
individuals in medical distress are stranded at a remote Arctic location and must be …

[PDF][PDF] Using reinforcement learning to provide decision support in multi-domain mass evacuation operations

M Rempel, N Shiell - 16th NATO Operational Research and …, 2022 - review.sto.nato.int
In this paper, we study a scenario in which a large number of individuals in various levels of
medical distress are stranded at a remote location, such as in the Arctic, and must be …

[PDF][PDF] Creating Autonomous Multi-Object Safe Control via Different Forms of Neural Constraints of Dynamic Programming. Electronics 2024, 13, 936

J Lisowski - 2024 - academia.edu
The aim of this work, which is an extension of previous research, is a comparative analysis
of the results of the dynamic optimization of safe multi-object control, with different …

[PDF][PDF] Diary of an independent scientific contributor

M Rempel - 2023 - researchgate.net
Abstract During the fiscal year 2022/23—1 April 2022 to 31 March 2023—the author was
approved to take a one-year sabbatical from his posting in the Canadian Joint Operations …

[引用][C] Using Reinforcement Learning to provide decision support in multi-domain mass evacuation operations

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