IEEE

Operant Conditioning Neuromorphic Circuit With Addictiveness and Time Memory for Automatic Learning

Most operant conditioning circuits predominantly focus on simple feedback process, few studies consider the intricacies of feedback outcomes and the uncertainty of feedback time. This paper proposes a ...
GitHub

A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning

This repository contains the official JAX implementation for the NeurIPS 2025 paper: A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning. Our work introduces a principle for ...
IEEE

Review of Synthetic Aperture Radar Automatic Target Recognition: A Dual Perspective on Classical and Deep Learning Techniques

Abstract: With advances in both classical and modern methods,synthetic aperture radar (SAR) automatic target recognition (ATR) has made enormous progress. This article reviews a wide range of SAR ATR ...
Psychology Today

Promoting Student Engagement and Motivation in Learning

Engagement refers to the degree of attention, curiosity, or interest that a student shows when they are learning something new. Engagement can be fostered by different types of motivation—external and ...