Abstract: In recent years, black-box distributed optimization (DBO) has been widely studied to solve complex optimization problems in multi-agent systems, such as hyperparameter optimization of ...

Abstract: Bayesian optimization (BO) is a data-efficient approach for optimizing expensive-to-evaluate black-box functions that suffer from noisy evaluations. Traditional BO algorithms ignore the ...

This repository trains LLMs to perform multi-turn Tool-Integrated Reasoning (TIR) with RL, where LLMs iteratively generate code, execute it, and think upon the execution results. This capability ...

Title A Unified Formulation of Multibody Kinematic Equations in Terms of Absolute, Joint, and Indirect Coordinates ...