AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to “here’s what to do.” ...
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 ...
SAN FRANCISCO, June 10 (Reuters) - Enterprise software maker Linear has raised an $82 million Series C funding round valuing the startup at $1.25 billion, the company said on Tuesday. Venture capital ...
Have you wanted to get into GPU programming with CUDA but found the usual textbooks and guides a bit too intense? Well, help is at hand in the form of a series of increasingly difficult programming ...
As enterprises continue to navigate the complexities of digital transformation, connected data is becoming an increasingly common necessity. Connected data is when data assets are linked together to ...
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 ...
1 Department of Business Administration, University of Patras, Patras, Greece. 2 Department of Digital Systems, University of the Peloponnese, Sparta, Greece. While formulating real-world LP problems, ...
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