- Abadi, Martín, Barham, Paul, Chen, Jianmin, Chen, Zhifeng, Davis, Andy, Dean, Jeffrey, Devin, Matthieu, Ghemawat, Sanjay, Irving, Geoffrey, Isard, Michael, et al., 2016. Tensorflow: a system for large-scale machine learning. In: Osdi, vol. 16, Savannah, GA, USA, pp. 265–283.
Paper not yet in RePEc: Add citation now
- Achdou, Yves ; Barles, Guy ; Ishii, Hitoshi ; Litvinov, Grigory L ; Achdou, Yves Finite difference methods for mean field games. 2013 En : Loreti, Paola ; Tchou, Nicoletta Anna Hamilton-Jacobi Equations: Approximations, Numerical Analysis and Applications: Cetraro, Italy 2011. Springer:
Paper not yet in RePEc: Add citation now
- Achdou, Yves ; Capuzzo-Dolcetta, Italo Mean field games: numerical methods. 2010 SIAM J. Numer. Anal.. 48 1136-1162
Paper not yet in RePEc: Add citation now
Al-Aradi, Ali ; Correia, Adolfo ; Naiff, Danilo ; Jardim, Gabriel ; Saporito, Yuri Solving nonlinear and high-dimensional partial differential equations via deep learning. 2018 :
Alfonsi, Aurélien ; Blanc, Pierre Dynamic optimal execution in a mixed-market-impact Hawkes price model. 2016 Finance Stoch.. 20 183-218
Alfonsi, Aurélien ; Fruth, Antje ; Schied, Alexander Optimal execution strategies in limit order books with general shape functions. 2010 Quant. Finance. 10 143-157
- Almgren, Robert ; Chriss, Neil Optimal execution of portfolio transactions. 2001 J. Risk. 3 5-40
Paper not yet in RePEc: Add citation now
- Ankirchner, Stefan ; Jeanblanc, Monique ; Kruse, Thomas BSDEs with singular terminal condition and a control problem with constraints. 2014 SIAM J. Control Optim.. 52 893-913
Paper not yet in RePEc: Add citation now
- Bellman, Richard Dynamic programming. 1966 Science. 153 34-37
Paper not yet in RePEc: Add citation now
- Benamou, Jean-David ; Carlier, Guillaume ; Santambrogio, Filippo Variational mean field games. 2017 En : Active Particles, Volume 1: Advances in Theory, Models, and Applications. Springer:
Paper not yet in RePEc: Add citation now
- Cardaliaguet, Pierre ; Lehalle, Charles-Albert Mean field game of controls and an application to trade crowding. 2018 Math. Financ. Econ.. 12 335-363
Paper not yet in RePEc: Add citation now
- Carmona, René ; Laurière, Mathieu Deep learning for mean field games and mean field control with applications to finance. 2021 :
Paper not yet in RePEc: Add citation now
- Dissanayake, M.W.M.G. ; Phan-Thien, Nhan Neural-network-based approximations for solving partial differential equations. 1994 Commun. Numer. Methods Eng.. 10 195-201
Paper not yet in RePEc: Add citation now
Fu, Guanxing ; Graewe, Paulwin ; Horst, Ulrich ; Popier, Alexandre A mean field game of optimal portfolio liquidation. 2021 Math. Oper. Res.. 46 1250-1281
Graewe, Paulwin ; Horst, Ulrich ; Séré, Eric Smooth solutions to portfolio liquidation problems under price-sensitive market impact. 2018 Stochastic Process. Appl.. 128 979-1006
- Graves, Alex ; Graves, Alex Long short-term memory. 2012 En : Supervised Sequence Labelling with Recurrent Neural Networks. Springer:
Paper not yet in RePEc: Add citation now
- Huang, Minyi ; Malhamé, Roland P. ; Caines, Peter E. Large population stochastic dynamic games: closed-loop McKean-Vlasov systems and the Nash certainty equivalence principle. 2006 Commun. Inf. Syst.. 6 221-252
Paper not yet in RePEc: Add citation now
Huang, Xuancheng ; Jaimungal, Sebastian ; Nourian, Mojtaba Mean-field game strategies for optimal execution. 2019 Appl. Math. Finance. 26 153-185
- Kingma, Diederik P. ; Ba, Jimmy Adam: A method for stochastic optimization. 2014 :
Paper not yet in RePEc: Add citation now
- Krizhevsky, Alex ; Sutskever, Ilya ; Hinton, Geoffrey E. Imagenet classification with deep convolutional neural networks. 2017 Commun. ACM. 60 84-90
Paper not yet in RePEc: Add citation now
Kyle, Albert S. Continuous auctions and insider trading. 1985 Econometrica. 1315-1335
- Lasry, Jean-Michel ; Lions, Pierre-Louis Mean field games. 2007 Jpn. J. Math.. 2 229-260
Paper not yet in RePEc: Add citation now
- Lin, Alex Tong ; Fung, Samy Wu ; Li, Wuchen ; Nurbekyan, Levon ; Osher, Stanley J Alternating the population and control neural networks to solve high-dimensional stochastic mean-field games. 2021 Proc. Natl. Acad. Sci.. 118 -
Paper not yet in RePEc: Add citation now
- Liu, Dong C. ; Nocedal, Jorge On the limited memory BFGS method for large scale optimization. 1989 Math. Program.. 45 503-528
Paper not yet in RePEc: Add citation now
- Paszke, Adam ; Gross, Sam ; Chintala, Soumith ; Chanan, Gregory ; Yang, Edward ; DeVito, Zachary ; Lin, Zeming ; Desmaison, Alban ; Antiga, Luca ; Lerer, Adam Automatic differentiation in pytorch. 2017 :
Paper not yet in RePEc: Add citation now
- Raissi, Maziar ; Perdikaris, Paris ; Karniadakis, George E. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations. 2019 J. Comput. Phys.. 378 686-707
Paper not yet in RePEc: Add citation now
- Ruthotto, Lars ; Osher, Stanley J ; Li, Wuchen ; Nurbekyan, Levon ; Fung, Samy Wu A machine learning framework for solving high-dimensional mean field game and mean field control problems. 2020 Proc. Natl. Acad. Sci.. 117 9183-9193
Paper not yet in RePEc: Add citation now
Sirignano, Justin ; Spiliopoulos, Konstantinos DGM: A deep learning algorithm for solving partial differential equations. 2018 J. Comput. Phys.. 375 1339-1364