Recent advances in applying deep reinforcement learning for flow control: Perspectives and future directions
Author:
Affiliation:
1. FLOW, Engineering Mechanics, KTH Royal Institute of Technology 1 , SE-100 44 Stockholm, Sweden
2. Mines de Paris, Université PSL 2 , 75005 Paris, France
3. IT Department, Norwegian Meteorological Institute 3 , Postboks 43, 0313 Oslo, Norway
Abstract
Funder
European Research Council
Publisher
AIP Publishing
Subject
Condensed Matter Physics,Fluid Flow and Transfer Processes,Mechanics of Materials,Computational Mechanics,Mechanical Engineering
Link
https://pubs.aip.org/aip/pof/article-pdf/doi/10.1063/5.0143913/16793092/031301_1_online.pdf
Reference185 articles.
1. Reinforcement learning in robotics: A survey;Int. J. Rob. Res.,2013
2. Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates,2017
3. OpenAI, M. Andrychowicz, B. Baker, M. Chociej, R. Jozefowicz, B. McGrew, J. Pachocki, A. Petron, M. Plappert, G. Powell, A. Ray, J. Schneider, S. Sidor, J. Tobin, P. Welinder, L. Weng, and W. Zaremba, “Learning dexterous in-hand manipulation,” arXiv:1808.00177 (2018).
4. Deep reinforcement learning for dialogue generation,2016
5. Mastering the game of go without human knowledge;Nature,2017
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