E-LIB Suche - Ergebnisse für: Faghan, Yaser

1

Inverse Problem Approach to Machine Learning with Applicati..:

Pourmohammad Azizi, S. ; Jafari, Hossein ; Faghan, Yaser.
Optical Memory and Neural Networks. 31 (2022) 1 - p. 46-58 , 2022

Link: https://doi.org/10.3103/..

2

Gambler Bandits and the Regret of Being Ruined:

, In: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems,

Studzinski Perotto, Filipo ; Vakili, Sattar ; Gajane, Pratik.. - p. 1664-1667 , 2021

Link: https://dl.acm.org/doi/1..

3

Comprehensive Review of Deep Reinforcement Learning Methods..:

Mosavi, Amirhosein ; Faghan, Yaser ; Ghamisi, Pedram...
Mathematics. 8 (2020) 10 - p. 1640 , 2020

Link: https://doi.org/10.3390/..

4

Pricing Perpetual Put Options by the Black–Scholes Equation..:

Grossinho, Maria do Rosário ; Kord Faghan, Yaser ; Ševčovič, Daniel
Asia-Pacific Financial Markets. 24 (2017) 4 - p. 291-308 , 2017

Link: https://doi.org/10.1007/..

5

Gambler Bandits and the Regret of Being Ruined:

Studzinski Perotto, Filipo ; Vakili, Sattar ; Gajane, Pratik..
hal-03120813. , 2021

Link: https://hal.science/hal-..

6

Gambler Bandits and the Regret of Being Ruined:

Studzinski Perotto, Filipo ; Vakili, Sattar ; Gajane, Pratik..
hal-03120813. , 2021

Link: https://hal.science/hal-..

7

Gambler Bandits and the Regret of Being Ruined:

Studzinski Perotto, Filipo ; Vakili, Sattar ; Gajane, Pratik..
hal-03120813. , 2021

Link: https://hal.archives-ouv..

8

Gambler Bandits and the Regret of Being Ruined:

Studzinski Perotto, Filipo ; Vakili, Sattar ; Gajane, Pratik..
hal-03120813. , 2021

Link: https://hal.science/hal-..

9

Comprehensive Review of Deep Reinforcement Learning Methods..:

Mosavi, Amir ; Ghamisi, Pedram ; Faghan, Yaser.
http://arxiv.org/abs/2004.01509. , 2020

Link: http://arxiv.org/abs/200..

10

Adversarial Attacks on Deep Algorithmic Trading Policies:

Faghan, Yaser ; Piazza, Nancirose ; Behzadan, Vahid.
http://arxiv.org/abs/2010.11388. , 2020

Link: http://arxiv.org/abs/201..

11

Analytical and numerical results for American style of perp..:

Grossinho, Maria do Rosário ; Faghan, Yaser ; Ševčovič, Daniel
Grossinho, Maria do Rosário, Yaser Faghan and Daniel Ševčovič. (2017). "Analytical and numerical results for American style of perpetual put options through transformation into nonlinear stationary Black-Scholes equations." In Novel Methods in Computational Finance. Matthias Ehrhardt, Michael Gunther and E. Jan W. ter Maten, (Eds.) Chapter 8 : pp. 129-142. (Search PDF in 2023).. , 2017

Link: http://hdl.handle.net/10..

12

Pricing perpetual put options by the black–scholes equation..:

Grossinho, Maria do Rosário ; Faghan, Yaser Kord ; Ševčovič, Daniel
Grossinho, Maria do Rosário, Yaser Kord Faghan and Daniel Ševčovič. (2017). "Pricing perpetual put options by the black–scholes equation with a nonlinear volatility function" . Asia-Pacific Financial Markets. Vol. 24: pp. 291-308. (Search PDF in 2023).. , 2017

Link: http://hdl.handle.net/10..

13

Pricing Perpetual Put Options by the Black-Scholes Equation..:

Grossinho, Maria do Rosario ; Faghan, Yaser Kord ; Sevcovic, Daniel
http://arxiv.org/abs/1611.00885. , 2016

Link: http://arxiv.org/abs/161..

14

Comprehensive Review of Deep Reinforcement Learning Methods..:

Amir Mosavi ; Yaser Faghan ; Pedram Ghamisi...
doi:10.5281/zenodo.4039087. , 2020

Link: https://zenodo.org/recor..

15

Comprehensive Review of Deep Reinforcement Learning Methods..:

Amir Mosavi ; Pedram Ghamisi ; Yaser Faghan...
doi:10.5281/zenodo.4118203. , 2020

Link: https://zenodo.org/recor..