@article{ART002698398},
author={Kim, Min-suk},
title={A Study of Collaborative and Distributed Multi-agent Path-planning using Reinforcement Learning},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2021},
volume={26},
number={3},
pages={9-17},
doi={10.9708/jksci.2021.26.03.009}
TY - JOUR
AU - Kim, Min-suk
TI - A Study of Collaborative and Distributed Multi-agent Path-planning using Reinforcement Learning
JO - Journal of The Korea Society of Computer and Information
PY - 2021
VL - 26
IS - 3
PB - The Korean Society Of Computer And Information
SP - 9
EP - 17
SN - 1598-849X
AB - In this paper, an autonomous multi-agent path planning using reinforcement learning for monitoring of infrastructures and resources in a computationally distributed system was proposed.
Reinforcement-learning-based multi-agent exploratory system in a distributed node enable to evaluate a cumulative reward every action and to provide the optimized knowledge for next available action repeatedly by learning process according to a learning policy. Here, the proposed methods were presented by (a) approach of dynamics-based motion constraints multi-agent path-planning to reduce smaller agent steps toward the given destination(goal), where these agents are able to geographically explore on the environment with initial random-trials versus optimal-trials, (b) approach using agent sub-goal selection to provide more efficient agent exploration(path-planning) to reach the final destination(goal), and (c) approach of reinforcement learning schemes by using the proposed autonomous and asynchronous triggering of agent exploratory phases.
KW - Reinforcement Learning;Multi-agent;Sub-goal;Sharing Information;Collaborative
DO - 10.9708/jksci.2021.26.03.009
ER -
Kim, Min-suk. (2021). A Study of Collaborative and Distributed Multi-agent Path-planning using Reinforcement Learning. Journal of The Korea Society of Computer and Information, 26(3), 9-17.
Kim, Min-suk. 2021, "A Study of Collaborative and Distributed Multi-agent Path-planning using Reinforcement Learning", Journal of The Korea Society of Computer and Information, vol.26, no.3 pp.9-17. Available from: doi:10.9708/jksci.2021.26.03.009
Kim, Min-suk "A Study of Collaborative and Distributed Multi-agent Path-planning using Reinforcement Learning" Journal of The Korea Society of Computer and Information 26.3 pp.9-17 (2021) : 9.
Kim, Min-suk. A Study of Collaborative and Distributed Multi-agent Path-planning using Reinforcement Learning. 2021; 26(3), 9-17. Available from: doi:10.9708/jksci.2021.26.03.009
Kim, Min-suk. "A Study of Collaborative and Distributed Multi-agent Path-planning using Reinforcement Learning" Journal of The Korea Society of Computer and Information 26, no.3 (2021) : 9-17.doi: 10.9708/jksci.2021.26.03.009
Kim, Min-suk. A Study of Collaborative and Distributed Multi-agent Path-planning using Reinforcement Learning. Journal of The Korea Society of Computer and Information, 26(3), 9-17. doi: 10.9708/jksci.2021.26.03.009
Kim, Min-suk. A Study of Collaborative and Distributed Multi-agent Path-planning using Reinforcement Learning. Journal of The Korea Society of Computer and Information. 2021; 26(3) 9-17. doi: 10.9708/jksci.2021.26.03.009
Kim, Min-suk. A Study of Collaborative and Distributed Multi-agent Path-planning using Reinforcement Learning. 2021; 26(3), 9-17. Available from: doi:10.9708/jksci.2021.26.03.009
Kim, Min-suk. "A Study of Collaborative and Distributed Multi-agent Path-planning using Reinforcement Learning" Journal of The Korea Society of Computer and Information 26, no.3 (2021) : 9-17.doi: 10.9708/jksci.2021.26.03.009