IEEE

Low-Cost Data Offloading Strategy With Deep Reinforcement Learning for Internet of Things

Abstract: With the widespread adoption of the Internet of Things (IoT) and various smart medical devices, the volume of medical data has dramatically increased, making the processing of medical ...
Unite.AI

The Reinforcement Gap: Why AI Excels at Some Tasks but Stalls at Others

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

How AI coding agents work—and what to remember if you use them

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
IEEE

Reinforcement-Learning-Based Finite Time Fault Tolerant Control for a Manipulator With Actuator Faults

Abstract: This study introduces a novel finite time fault tolerant controller integrating nonsingular terminal sliding mode (NTSM) and reinforcement learning (RL) strategies for manipulator systems ...