The Agent-R1 framework provides a path to building more autonomous agents that can reason and use tools in unpredictable, ...

Combining Cor Van Rij's JFET test socket with two DMMs, a current limiter, switches and a wall wart yield a simple, accurate ...

The authors have performed a potentially valuable new kind of analysis in connectomics, mapping to an interesting developmental problem of synaptic input to sensory neurons. While the analysis itself ...

At the 2024 International Mathematical Olympiad (IMO), one competitor did so well that it would have been awarded the Silver Prize, except for one thing: it was an AI system. This was the first time ...

Welcome to The Impossible Build! Here, we take on massive, ambitious building projects that most would call impossible — and we show you step-by-step how we make them happen. From custom construction ...

Loop analysis of analog and mixed-signal discontinuous systems, such as PLLs, delta-sigma converters, switched-capacitor filters, PWM amplifiers, and switch-mode power supplies, presents a unique ...

Abstract: Most reinforcement learning (RL) algorithms proposed to solve Nash equilibrium in multi-agent systems assume stable communication conditions or rely on accurate models of the environment.

Abstract: Optimization is vital to Engineering, Artificial Intelligence, and to many areas of Science. Mathematically, we usually employ steepest-descent, or other digital algorithms. For example, ...

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 ...