Procedural urban environments for FPS games
This paper presents a novel approach to procedural generation of urban maps for First Person Shooter (FPS) games. A multi-agent evolutionary system is employed to place streets, buildings and other items inside the Unity3D game engine, resulting in playable video game levels. A computational agent is trained using machine learning techniques to capture the intent of the game designer as part of the multi-agent system, and to enable a semi-automated aesthetic selection for the underlying genetic algorithm.
Code (0)
등록된 구현이 없습니다.
Tasks
BIG-bench Machine LearningFPS GamesSimilar Papers 제목 키워드 기반
Demonstration-efficient Inverse Reinforcement Learning in Procedurally Generated Environments
Deep Reinforcement Learning achieves very good results in domains where reward functions can be manually engineered. At the same time, there is growing interest within the community in using games based on Procedurally C…
Deep Reinforcement Learningreinforcement-learningReinforcement LearningReinforcement Learning (RL)Reinforcement Learning-Enhanced Procedural Generation for Dynamic Narrative-Driven AR Experiences
Procedural Content Generation (PCG) is widely used to create scalable and diverse environments in games. However, existing methods, such as the Wave Function Collapse (WFC) algorithm, are often limited to static scenario…
reinforcement-learningReinforcement LearningReinforcement Learning (RL)Co-generation of game levels and game-playing agents
Open-endedness, primarily studied in the context of artificial life, is the ability of systems to generate potentially unbounded ontologies of increasing novelty and complexity. Engineering generative systems displaying …
Artificial LifeThink in Games: Learning to Reason in Games via Reinforcement Learning with Large Language Models
Large language models (LLMs) excel at complex reasoning tasks such as mathematics and coding, yet they frequently struggle with simple interactive tasks that young children perform effortlessly. This discrepancy highligh…
Reinforcement LearningEvaluating Environments Using Exploratory Agents
Exploration is a key part of many video games. We investigate the using an exploratory agent to provide feedback on the design of procedurally generated game levels, 5 engaging levels and 5 unengaging levels. We expand u…
Game Design