Art

J-GLOBAL ID：201902244801216245   Reference number：19A0873745

AI,IoTが生み出す自動運転技術と最新研究動向 市街地の自動運転へ向けた深層強化学習・模倣学習の研究動向と応用展望

Author (1)： ARAI SACHIYO (千葉大 大学院工学研究院)
Material： 月刊車載テクノロジー  (車載テクノロジー)
Volume： 6  Issue： 4  Page： 11-16  Publication year： Jan. 30, 2019 
JST Material Number： F1332A  ISSN： 2432-5694  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： *reinforcement learning ,  automatic operative method ,  *automobile ,  machine learning ,  *learning control ,  human interface
Semi thesaurus term： *Inverse Reinforcement Learning ,  *self-driving car ,  deep learning ,  *deep reinforcement learning

JST classification (4)： Artificial intelligence  (JE08000Z) ,  Automobiles and automobile industry in general  (QG01000P) ,  Running gears  (QG03040V) ,  Transportation management and control  (TB01060R)

Reference (16)：

• Sutton, R. S., Barto, A. G.: Reinforcement Learning: An Introduction, MIT Press (1998)
• Mnih, V., Kavukcuoglu, K., Silver, D., Graves, A., Antonoglou, I., Wierstra, D. and Riedmiller, M., Playing Atari with Deep Reinforcement Learning, NIPS Deep Learning Workshop, arXiv:1312.5602 [cs.LG] (2013)
• Pomerleau, D.A., Efficient training of artificial neural networks for autonomous navigation. Neural Computation, 3(1): pp.88-97 (1991)
• Russell, S., Learning agents for uncertain environments (extended abstract). Proceedings of the 11th Annual Conference on Computational Learning Theory (COLT), pp.101-103 (1998)
• Ramachandran, D., & Amir, E., Bayesian inverse reinforcement learning. Proceedings of the 20th In- ternational Joint Conference on Artificial Intelligence (IJCAI), pp.2586-2591 (2007)

Terms in the title (9)： AI ,  IoT ,  研究 ,  動向 ,  市街地 ,  深層強化学習 ,  模倣学習 ,  応用 ,  展望