AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
IEEE

Dynamic Historical Data-Based Reinforcement Learning for Pursuit–Evasion Games of Nonholonomic Vehicles With Input Saturation

Abstract: This article studies the pursuit–evasion game involving nonholonomic vehicles constrained by input saturation, aiming for the pursuer to intercept an evasive opponent. Unlike the previous ...
IEEE

Adaptive Fixed-Time Control for an Uncertain Robot With Input Quantization: A Broad Learning System Approach

Abstract: In this paper, an adaptive fixed-time control approach is designed for a robot with dynamic uncertainty in the presence of input quantization by using the Broad learning system (BLS). The ...
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You should learn this trick — a simple method that changes everything

This simple but powerful trick can completely change how you approach problems, saving time and reducing confusion. Learn the clear method behind it, why it works so well, and how to apply it across ...