This project attempts to formalize the process of using LLMs as template generators in a reliable, reproducible, and reviewable way. GraphMD proves you don't need AGI for effective AI assistance. You ...
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 ...
Download PDF Join the Discussion View in the ACM Digital Library Deep reinforcement learning (DRL) has elevated RL to complex environments by employing neural network representations of policies. 1 It ...
Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...
Many important practical computations, such as scheduling, combinatorial, and optimization problems, use techniques known as integer programming to find the best combination of many variables. In ...
Throughout my career, enterprise data management paradigms have come and gone. Let’s briefly trawl some data management history to understand how data fabric emerged. Okay, “data swamp” is somewhat ...
ABSTRACT: Linear programming is a method for solving linear optimization problems with constraints, widely met in real-world applications. In the vast majority of these applications, the number of ...
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