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 ...
IEEE

Toward Transparent Reinforcement Learning: An Explainable Deep Q-Learning Framework for Sequential Decision-Making

Reinforcement learning (RL) has demonstrated remarkable promise in sequential decision-making tasks; however, its explainability issues continue to hinder high-stakes domains that demand regulatory ...
The New York Times

These Three Red States Are the Best Hope in Schooling

Students at an elementary school in Hollandale, Miss.Credit... Supported by By Nicholas Kristof Photographs by Lynsey Addario Mr. Kristof is an Opinion Columnist who reported from Alabama and ...
GitHub

iflow-mcp/finance-llms-deep-research-python

The goal is to provide the simplest implementation of a deep research agent that can refine its research direction over time and dive deep into any topic. Optimized for ease of use and understanding.