Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...

1 DFQM, Federal University of São Carlos, Sorocaba, São Paulo, Brazil. 2 Federal University of Alfenas-MG, Poços de Caldas, Minas Gerais, Brazil.

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

This is a graphical user interface (GUI) application built with Python and Tkinter, designed to solve linear programming problems using SciPy's optimization library (linprog). Generates a plot of the ...

Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Missouri lawmakers have banned educators from leaning on a model of reading instruction called the “three-cueing” method as part of a bipartisan education package signed by Gov. Mike Kehoe on ...

Yesterday in an announcement blog post, AI company Anthropic unveiled Claude 4, its new generation of AI models consisting of Claude 4 Opus and Claude 4 Sonnet with a range of new abilities. Both ...

Two Microsoft researchers have devised a new, optimization-free jailbreak method that can effectively bypass the safety mechanisms of most AI systems. Called Context Compliance Attack (CCA), the ...