Reinforcement learning-based real-time energy management for a hybrid tracked vehicle

标题
Reinforcement learning-based real-time energy management for a hybrid tracked vehicle
作者
关键词
Hybrid tracked vehicle, Markov chain, Kullback–Leibler divergence rate, Reinforcement learning, Energy management, Control strategy
出版物
APPLIED ENERGY
Volume 171, Issue -, Pages 372-382
出版商
Elsevier BV
发表日期
2016-03-23
DOI
10.1016/j.apenergy.2016.03.082

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now