Aerospace and Mechanical Insider on MSN

Hierarchical reinforcement learning boosts air defense efficiency

Modern air defense confrontations demand rapid, precise task assignments in environments where threats evolve within seconds.
Geeky Gadgets

Markov Chains : The Strange Math That Predicts Almost Anything

What if you could predict the future, not with a crystal ball, but with math? In this guide, Veritasium explains how a 120-year-old concept called Markov chains has become a silent force shaping ...
VentureBeat

Beyond math and coding: New RL framework helps train LLM agents for complex, real-world tasks

Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks ...
IEEE

Nonconvex Regularization for Markov Decision Processes: Modeling and Algorithms

Abstract: This paper investigates efficient algorithm for Markov Decision Processes (MDPs) through Linear programming (LP). Generally, solving large-scale MDPs via standard LP solvers faces ...
Frontiers

A novel reinforcement learning framework-based path planning algorithm for unmanned surface vehicle

Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...
IEEE

An Actor-Critic Algorithm with Function Approximation for Risk Sensitive Cost Markov Decision Processes

Abstract: In this paper, we consider the risk-sensitive cost criterion with exponentiated costs for Markov decision processes and develop a model-free policy gradient algorithm in this setting. Unlike ...
Scientific Research Publishing

Puterman, M.L. (2014) Markov Decision Processes: Discrete Stochastic Dynamic Programming. John Wiley & Sons.

ABSTRACT: Offline reinforcement learning (RL) focuses on learning policies using static datasets without further exploration. With the introduction of distributional reinforcement learning into ...
Booth School of Business

Algorithms and AI Can Make Hiring More Diverse

Many companies are searching for tools to help them hire diverse, productive workforces. Even if diversity is not the main hiring goal, they may want to ensure they’re not overlooking talented ...
GitHub

A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing

This repository contains the Python code for reproducing the decentralized QECO (QoE-Oriented Computation Offloading) algorithm, designed for Mobile Edge Computing (MEC) systems. In the realm of ...