reinforcement learning

Literature Synthesis Matrix

A comprehensive extraction grid covering the 21 selected primary studies. Synthesizes structural data including author, publication venue, process mining domain, reinforcement learning approach, and explainability (XAI) focus.

A Cross-Layer Review of Intelligent, Secure, and Privacy-Preserving Internet of Vehicles

This study is intended to serve as a structured reference for the development of scalable, trustworthy, and intelligent IoV systems by highlighting state-of-the-art techniques, open research gaps, and future directions.

Regime-Aware Reinforcement Learning for Inflation Forecast Combination in Sub-Saharan Africa

This repository contains the complete data, code, trained models, intermediate outputs, robustness checks, and figures supporting the manuscript “Regime-Aware Reinforcement Learning for Inflation Forecast Combination in Sub-Saharan Africa.” The empirical dataset covers eight Sub-Saharan African economies—Côte d’Ivoire,...

The Effectiveness of Instagram Reels and Flashcards for Vocabulary Learning: A Mixed-Methods Study with Sri Lankan ESL Undergraduates

This mixed-methods study examined the effectiveness of Instagram Reels and traditional flashcards as vocabulary learning interventions for teaching vocabulary to first-year English as a Second Language (ESL) undergraduates at a Sri Lankan state university. Grounded in Cognitive Load Theory, Dual Coding Theory, and Mult...

A hierarchical navigation decision-making method for UAV swarms in unknown communication-constrained environments

In recent years, Unmanned Aerial Vehicles (UAVs) have gradually been widely used in various fields such as regional search and disaster relief, and the development of related technologies has also experienced unprecedented growth. Compared to individual UAVs, the collaborative execution of tasks by UAV swarms has more...

MA-RL and WOA-Based Secure Routing: A Federated Learning Approach for Trust Evaluation and DoS Attack Mitigation in IoT Networks

The growing size and sophistication of the Internet of Things (IoT) has brought up the issue of network security and routing efficiency, especially in unfriendly settings where Denial-of-Service (DoS) attacks are frtaent. Conventional trust-based routing algorithms are not very flexible and are not capable of adequatel...

ANALISIS UPAYA GURU DALAM MENGEMBANGKAN KEPERCAYAAN DIRI PESERTA DIDIK DI KELAS III SD NEGERI 075048 LASARA SIWALUBANUA

Low student self-confidence in rural schools frequently hinders active participation, yet empirical studies addressing everyday teacher-led classroom interventions in these settings remain scarce. This study aims to analyze teachers’ efforts in developing the self-confidence of third-grade students at SD Negeri 075048...

CSPPO: A multi-agent reinforcement learning method for production capacity allocation in manufacturing industry chains

Observational Aliasing Bounds Generalization in Constrained Active-Sensing Multi-Agent Reinforcement Learning

Code, grading instruments, run provenance and a claim-to-source traceability register for the IEEE ICET 2026 paper of the same title. All four authors share the affiliation: School of Computing Sciences, Pak-Austria Fachhochschule Institute of Applied Sciences and Technology, Haripur, Pakistan.

eta-ctrl

A modular framework for rolling-horizon operational control using a Gym-compatible agent–environment abstraction. The framework enables integration of optimization-based agents (Pyomo), reinforcement learning agents (Stable-Baselines3), heuristic search methods, and rule-based controllers. Environments can be instantia...

Regime-Aware Reinforcement Learning for Inflation Forecast Combination in Sub-Saharan Africa

This repository contains the complete data, code, trained models, intermediate outputs, robustness checks, and figures supporting the manuscript “Regime-Aware Reinforcement Learning for Inflation Forecast Combination in Sub-Saharan Africa.” The empirical dataset covers eight Sub-Saharan African economies—Côte d’Ivoire,...

An Intelligent Distributed Adaptive Control Method for Multi-Channel Thermal Regulation in Fire-Resistance Testing Equipment

Accurate regulation of combustion temperature is critical for objectively evaluating the fire-resistance performance of cables. However, existing temperature control strategies mainly rely on centralized regulation methods, which struggle to simultaneously address the nonlinear coupling among multiple heat sources, spa...