All mainstream credit card numbers obey a mathematical trick designed to catch the most common typos. It’s called the Luhn ...

They use algorithms, of course, but how do these algorithms work? A series of corporate leaks over the past few years provides a remarkable window in the hidden engines powering social media.

D-Wave quantum annealers solve problems classical algorithms struggle with The latest claim of a clear quantum supremacy solves a useful problem.

This paper focused on three application problems of the traditional Deep Deterministic Policy Gradient(DDPG) algorithm. That is, the agent exploration is insufficient, the neural network performance ...

This letter studies a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-assisted wireless system where a multi-antenna base station (BS) transmits both wireless ...

Deep Deterministic Policy Gradient (DDPG) in Tensorflow 2 Looking at Reinforcement Learning, there are two kinds of action space, namely discrete and continuous. The continuous action space represents ...

Introduction: Deep deterministic policy gradient (DDPG)-based path planning algorithms for intelligent robots struggle to discern the value of experience transitions during training due to their ...