@techreport{oai:ipsj.ixsq.nii.ac.jp:00211328,
 author = {原田, 智広 and 服部, 聖彦 and Tomohiro, Harada and Kiyohiko, Hattori},
 issue = {14},
 month = {May},
 note = {近年，AI 技術やセンサ性能の向上に伴い，自動運転の研究が盛んに行われている．本研究では，複数車が同時に走行する環境を想定し，車々間での通信によって能動的に取得される近接車情報を考慮した自動運転制御を考える．具体的には，機械学習の一つである強化学習を用いた自動制御の獲得を目指す．本研究では，協調的な自動制御を実現するための報酬付与法の検討と，強化学習によって得られた制御の挙動を分析する．, In recent years, research on automatic driving has been actively conducted with the improvement of AI technology and sensor performance. In this study, we consider automatic driving control that uses actively acquired information through communication between neighbor vehicles in an environment where multiple vehicles are driving simultaneously. Specifically, we aim to obtain automatic control using deep reinforcement learning, a machine learning method. This study investigates rewarding methods for achieving cooperative automatic control and analyzes the behavior of the control obtained by reinforcement learning.},
 title = {近隣車情報を用いた強化学習による自動運転制御～報酬付与法の検討と制御挙動の分析～},
 year = {2021}
}