Deep Neural Networks Algorithms for Stochastic Control Problems on Finite Horizon: Numerical Applications
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Mathematics,Statistics and Probability
Link
http://link.springer.com/content/pdf/10.1007/s11009-019-09767-9.pdf
Reference20 articles.
1. Auer P, Cesa-Bianchi N, Fischer P (2002) Finite-time analysis of the multiarmed bandit problem. In: Machine Learning 47.2. ISSN: 1573-0565. https://doi.org/10.1023/A:1013689704352, pp 235–256
2. Alasseur C, Balata A, Aziza SB, Maheshwari A, Tankov P, Warin X (2019) Regression Monte Carlo for microgrid management. In: ESAIM proceedings and surveys, CEMRACS 2017, pp 46–67
3. Balata A, Huré C, Laurière M, Pham H, Pimentel I (2019) A class of finite-dimensional numerically solvable McKean-Vlasov control problems. In: ESAIM Proceedings and surveys, CEMRACS 2017, vol 19, pp 114–144
4. Bertsimas D, Kogan L, Lo AW (2001) Hedging derivative securities and incomplete markets: an ε-arbitrage approach. In: Operations research 49.3, pp 372–397
5. Carmona R, Ludkovski M (2010) Valuation of energy storage: an optimal switching approach. In: Quantitative finance 26.1, pp 262–304
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