reinforcement learning

How Does Artificial Intelligence Learn? A Beginner's Guide to Machine Learning

This article provides a beginner-friendly introduction to Machine Learning and explains how artificial intelligence systems learn patterns from data. It discusses the role of data, the training process, and the main approaches to machine learning, including supervised learning, unsupervised learning, and reinforcement...

AI-Augmented Logic Synthesis for Edge-Deployed Swimmer Detection Systems

Vision-based swimmer and drowning detection systems, built primarily on lightweight YOLO architectures, have achieved measurable gains in accuracy while shrinking model size for resource-constrained edge hardware. However, Field-Programmable Gate Array (FPGA) accelerators hosting these models continue to rely on conven...

A Decision-Centered Survey of Machine Learning for Routing in Ad Hoc Networks: MANETs, VANETs, and FANETs

This survey unifies vehicular, UAV-swarm, and MANET studies in one decision-centered framework, and concludes with open challenges that reframe learning-based routing around generalization, prediction reliability, security, reproducible evaluation, and deployability rather than incremental packet-delivery gains.

AI-Based Wireless Communication Systems Enabling Innovative Smart Systems Design

This chapter explores how Artificial Intelligence (AI) will support the future of wireless communication systems through advances in 6G networks, IoT ecosystems, and edge computing technologies. Technologies that enhance machine learning (ML), deep learning (DL), and reinforcement learning (RL) algorithms to improve ne...

PIREUS: Autonomous Operator Foundry, Hardware Capability Ontology, and Verifiable Reinforcement Learning Compiler Framework for Sounio

PIREUS is an autonomous operator foundry, hardware-capability ontology engine, and verifiable reinforcement learning compiler framework designed for the Sounio programming language ecosystem. It operates at the intersection of non-associative Cayley-Dickson hypercomplex algebras, formal silicon microarchitecture ontolo...

Deep reinforcement learning-optimized adaptive authenticated encryption and dynamic transmission control for secure LoRaWAN IoT communication

The growth of Internet of Things (IoT) devices in the industrial, environmental and urban sectors has raised the need for secure, energy efficient, and adaptive communication solutions. The LoRa (Long Range) technology combined with the LoRaWAN protocol stack is very promising due to its low power consumption, ability...

Rehabilitation Engineering Explained: Assistive Technology & Human Recovery Systems

This open educational resource (OER) curriculum module delivers a comprehensive, mathematically grounded foundation in Rehabilitation Engineering, detailing technologies that restore, augment, and support physical mobility and cognitive independence for individuals with neuromuscular and musculoskeletal impairments. Th...

Hierarchical Multi-Agent Reinforcement Learning for Cooperative Wildfire Suppression with Amphibious Firefighting UAVs

Results indicate that the hierarchical architecture provides the most pronounced contribution under the tested settings, while LSTM, the level-specific centralized critics, and hierarchical rewards provide additional performance contributions under the tested settings.

Geometric Shielding and Lagrangian Constraints in Safe Reinforcement Learning: A Factorial Study

Safe reinforcement learning requires balancing task performance against safety constraints, yet how different safety mechanisms interact when combined remains an open question. We present a systematic empirical comparison of four reinforcement learning algorithms, PPO, SAC, RCPO (with fixed λ), and Lagrangian PPO (LagP...

PIREUS: Autonomous Operator Foundry, Hardware Capability Ontology, and Verifiable Reinforcement Learning Compiler Framework for Sounio

PIREUS is an autonomous operator foundry, hardware-capability ontology engine, and verifiable reinforcement learning compiler framework designed for the Sounio programming language ecosystem. It operates at the intersection of non-associative Cayley-Dickson hypercomplex algebras, formal silicon microarchitecture ontolo...

Supplementary Document for Origin-Destination-Aware ConstrainedGraph Reinforcement Learning for Dynamic Electric Vehicle Routingand Charging Coordination

Persistence-Aware Reward Design for Closed-Loop Reinforcement Learning-Based Network Intrusion Defense