Continuous Procedural Network of Roads Generation using L-Systems and Reinforcement Learning

Ciprian Paduraru; Miruna Paduraru; Stefan Iordache

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Continuous Procedural Network of Roads Generation using L-Systems and Reinforcement Learning

Topics: Agent and Multi-agent Systems; Artificial Intelligence Applications

In Proceedings of the 17th International Conference on Software Technologies ICSOFT - Volume 1, 425-432, 2022 , Lisbon, Portugal

Authors: Ciprian Paduraru ; Miruna Paduraru and Stefan Iordache

Affiliation: University of Bucharest, Romania

Keyword(s): Networks, Roads, Deep Learning, Simulation Software, Video Games, L-systems, Reinforcement Learning.

Abstract: Procedural content generation methods are nowadays used in areas such as games, simulations or the movie industry to generate large amounts of data with lower development costs. Our work attempts to fill a gap in this area by focusing on methods capable of generating content representing network of roads, taking into account real-world patterns or user-defined input structures. At the low- level of our generative processes, we use L-systems and Reinforcement Learning based solutions that are employed to generate tiles of road structures in environments that are partitioned as 2D grids. As the evaluation section shows, these methods are suitable for runtime demanding applications since the computational cost is not significant.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 18.220.81.106

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Paduraru, C.; Paduraru, M. and Iordache, S. (2022). Continuous Procedural Network of Roads Generation using L-Systems and Reinforcement Learning. In Proceedings of the 17th International Conference on Software Technologies - ICSOFT; ISBN 978-989-758-588-3; ISSN 2184-2833, SciTePress, pages 425-432. DOI: 10.5220/0011268300003266

@conference{icsoft22,
author={Ciprian Paduraru. and Miruna Paduraru. and Stefan Iordache.},
title={Continuous Procedural Network of Roads Generation using L-Systems and Reinforcement Learning},
booktitle={Proceedings of the 17th International Conference on Software Technologies - ICSOFT},
year={2022},
pages={425-432},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011268300003266},
isbn={978-989-758-588-3},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Software Technologies - ICSOFT
TI - Continuous Procedural Network of Roads Generation using L-Systems and Reinforcement Learning
SN - 978-989-758-588-3
IS - 2184-2833
AU - Paduraru, C.
AU - Paduraru, M.
AU - Iordache, S.
PY - 2022
SP - 425
EP - 432
DO - 10.5220/0011268300003266
PB - SciTePress