Effectiveness of Agent Reinforcement Learning Using Relative Vectors for Promoting Deadlock Avoidance in Multi-Agent Object Transportation Tasks

Authors

Yukinobu Hoshino (ORCID: https://orcid.org/0000-0001-5285-8007)
Daisuke Hashimoto (ORCID: https://orcid.org/0000-0002-7880-889X)

Institutions

Kochi University of Technology (JP)

Publication Details

Journal: Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
Published: 2025-11-14
DOI: https://doi.org/10.3156/jsoft.37.4_680
Primary Topic: Autonomous Vehicle Technology and Safety
Type: article
Field-Weighted Citation Impact: 0.00

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article

Effectiveness of Agent Reinforcement Learning Using Relative Vectors for Promoting Deadlock Avoidance in Multi-Agent Object Transportation Tasks

Yukinobu Hoshino, Daisuke Hashimoto

Nov 14, 2025

Journal of Japan Society for Fuzzy Theory and Intelligent Informatics

Autonomous Vehicle Technology and Safety

article

Effectiveness of Agent Reinforcement Learning Using Relative Vectors for Promoting Deadlock Avoidance in Multi-Agent Object Transportation Tasks

Yukinobu Hoshino, Daisuke Hashimoto

November 14, 2025article en

Abstract

No abstract available for this paper.

Journal of Japan Society for Fuzzy Theory and Intelligent InformaticsVol. 37(4)

Kochi University of Technology (JP)

Openalex Percentile: Top 62%

Autonomous Vehicle Technology and Safety

DOI Open Access PDF OpenAlex

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Effectiveness of Agent Reinforcement Learning Using Relative Vectors for Promoting Deadlock Avoidance in Multi-Agent Object Transportation Tasks — Yukinobu Hoshino, Daisuke Hashimoto · Journal of Japan Society for Fuzzy Theory and Intelligent Informatics (2025) | TGRS Research Map | TGRS