強化学習による無人搬送車の分散型スケジューリング

DOI Web Site Web Site 被引用文献1件 参考文献22件

書誌事項

タイトル別名
  • Distributed Scheduling for Autonomous Vehicles by Reinforcement Learning
  • キョウカ ガクシュウ ニヨル ムジン ハンソウシャ ノ ブンサンガタ スケジュ

この論文をさがす

抄録

In this paper, we propose an autonomous vehicle scheduling schema in large physical distribution terminals publicly used as the next generation wide area physical distribution bases. This schema uses Learning Automaton for vehicles scheduling based on Contract Net Protocol, in order to obtain useful emergent behaviors of agents in the system based on the local decision-making of each agent. The state of the automaton is updated at each instant on the basis of new information that includes the arrival estimation time of vehicles. Each agent estimates the arriaval time of vehicles by using Bayesian learning process. Using traffic simulation, we evaluate the schema in various simulated environments. The result shows the advantage of the schema over when each agent provides the same criteria from the top down, and each agent voluntarily generates criteria via interactions with the environment, playing an individual role in the system.

収録刊行物

被引用文献 (1)*注記

もっと見る

参考文献 (22)*注記

もっと見る

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ