IEEE

Double Successive Over-Relaxation Q-Learning With an Extension to Deep Reinforcement Learning

Abstract: Q-learning (QL) is a widely used algorithm in reinforcement learning (RL), but its convergence can be slow, especially when the discount factor is close to one. Successive over-relaxation ...
EE World Online

How does deep learning actually work?

This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...
Hosted on MSN

Dave Ramsey tells a mechanic from Canada what to do after learning he makes $200,000/year but has nothing to show for it

On paper, Jackson’s debt-free status and $200,000 annual salary might look like an easy ticket to financial freedom. But in reality, the 25-year-old heavy-duty mechanic from Canada admits he’s often ...
IEEE

AAV Weapon Target Assignment via State Split Flow Deep Q-learning Network with Threat Degree Index

Abstract: This article investigates the weapon target assignment (WTA) problem for the autonomous aerial vehicle (AAV) system in the safety transition task. Considering the heterogeneity of targets, a ...
on3

Kirby Smart unpacks decision to throw deep on London Humphreys touchdown late in 4Q

Georgia wide receiver London Humphreys (16) brings in the catch for a game-tying touchdown in the final minutes of a college football game between Tennessee and Georgia at Neyland Stadium in Knoxville ...