Enhancing Non-Player Characters(NPC) Behaviourin Video Games Using Reinforcement Learning
Journal Title: International Journal of Innovations in Science and Technology - Year 2025, Vol 7, Issue 2
Abstract
NPCs enrich the immersive experience of a video game, and traditionally exist along purely rule-or script-based paradigms, denying adaptability or intelligent decision-making very often. The research integrates RL into the NPC behaviourto allow for the more realistic, dynamic interactions and responsive behaviourthat today's gaming environments require. We will review state-of-the-art RL algorithms and validate improvements implemented in our own RL model within a sandbox game environment into NPC decision-making and player engagement. According to our results, RL makes NPCs adaptive, tactically deep, and realistic while the classical ones fail. The study provides rigorous methodology and analysis to demonstrate the feasibility and advantages of using RL for the design of a new generation of games.
Authors and Affiliations
Mirza Shahveer Ayoub, Rabia Tehseen, Uzma Omer, Maham Mehr Awan, Rubab Javaid
Keywords
Related Articles
- EP ID EP769785
- DOI -
- Views 6
- Downloads 0
Extractive Text Summarization-Based Framework for Sindhi Language
This paper presents an extractive text summarization method specially designed for Sindhi, a culturally rich but low-resource Indo-Aryan language spoken widely in Pakistan. The study focuses on selecting th...
Gender-Based Analysis of Employee Attrition Prediction Using Machine Learning
Employee turnover is a significant problem in organizations because it comes with productivity and cost implications. This paper focuses on predicting employee turnover using machine learning techniques that incorporat...
Medical Intent Classification Using Ensemble and Deep Learning Models
Introduction: Medical chatbots are innovative solutions that leverage Natural Language Processing (NLP) and Artificial Intelligence (AI) to enhance communication efficiency between healthcare providers and patients. In...
Developing an Arabic-Urdu Ontology of Quranic Concepts: A Semantic Approach
An Arabic-Urdu ontology system dedicated to Quranic concepts represents a necessity for protecting the semantic value and making religious texts more accessible during Quranic study. Ontology-driven annotation tools sh...
Investigation of Feminism Trends Through Sentiment Analysis Using Machine Learning and Natural Language Processing
Introduction/Importance of Study: One of the recent changes seen in Pakistan is the growing awareness among people, to end gender discrimination and bring equality, across various spheres. “Aurat March”, is a series o...