IEEE

RadDQN: A Deep Q Learning-Based Architecture for Finding Time-Efficient Minimum Radiation Exposure Pathway

Abstract: Recent advances in deep reinforcement learning (DRL) have expanded its use in various automation sectors, including the nuclear industry. While DRL shows promise for optimizing radiation ...
Yahoo Finance

CSCO Q4 Deep Dive: AI Infrastructure Drives Growth Amid Margin Pressures and Cautious Market Response

Networking technology giant Cisco (NASDAQ:CSCO) reported Q4 CY2025 results topping the market’s revenue expectations , with sales up 9.7% year on year to $15.35 billion. Guidance for next quarter’s ...
IEEE

Deep Q-Learning with Gradient Target Tracking

Abstract: This paper introduces Q-learning with gradient target tracking, a novel reinforcement learning framework that provides a learned continuous target update mechanism as an alternative to the ...
Gizmodo

NASA’s Artemis 2 Will Test Human Health in Deep Space Like Never Before

The Artemis 2 astronauts will venture deeper into space than any human has gone before. That presents some seriously exciting research opportunities. Reading time 5 minutes The human body is a complex ...
marktechpost

A Coding Implementation to Train Safety-Critical Reinforcement Learning Agents Offline Using Conservative Q-Learning with d3rlpy and Fixed Historical Data

In this tutorial, we build a safety-critical reinforcement learning pipeline that learns entirely from fixed, offline data rather than live exploration. We design a custom environment, generate a ...