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United We Stand: Decentralized Multi-Agent Planning With Attrition

https://arxiv.org/html/2407.08254v2
Several sampling-based planning algorithms have also been proposed to improve computational efficiency, particularly for special classes of Dec-POMDPs, such as multi-robot active perception [49]

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https://arxiv.org/pdf/2608.03898
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https://arxiv.org/pdf/2608.00785
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https://arxiv.org/pdf/2608.02854v1
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https://arxiv.org/pdf/2205.01882v5
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https://arxiv.org/pdf/2608.02976
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https://arxiv.org/src/2006.00064
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https://arxiv.org/src/2006.02759
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1 Introduction

https://arxiv.org/html/2407.14571v1
Many socio-economical critical domains (such as sustainability, public health, and disasters) are characterized by highly complex and dynamic systems, requiring data and model-driven simulations to support decision-making

Software Engineering

https://arxiv.org/list/cs.SE/new
PL) Glob patterns, a domain-specific language for structured string matching, are a foundational yet understudied component of modern software development embedded in everything from build scripts and configuration files to web server routes

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https://arxiv.org/pdf/2006.02602
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https://arxiv.org/src/2006.01048
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https://arxiv.org/pdf/2005.13905
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https://arxiv.org/src/2006.01331
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https://arxiv.org/src/2006.02085
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https://arxiv.org/pdf/2608.03118
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Preferred, Not Safer: Pairwise Preference Is a Poor Proxy for Clinical

https://arxiv.org/html/2608.02617v1
In MOOVE, clinicians assign rubric scores on a discrete −2-2 to +2+2 scale, where negative values indicate clinically unsafe, misleading, or otherwise unacceptable content

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https://arxiv.org/src/2006.03720
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https://arxiv.org/src/2006.01128
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https://arxiv.org/src/2608.03883
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https://arxiv.org/pdf/2608.02666
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https://arxiv.org/src/2104.08691
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https://arxiv.org/pdf/2006.01128
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https://arxiv.org/pdf/2002.02145
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https://arxiv.org/pdf/2408.15021
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