Laurière, Mathieu, Tangpi, Ludovic, and Zhou, Xuchen. A deep learning method for optimal investment under relative performance criteria among heterogeneous agents. Retrieved from https://par.nsf.gov/biblio/10611452. European Journal of Operational Research 326.3 Web. doi:10.1016/j.ejor.2025.04.018.

Laurière, Mathieu, Tangpi, Ludovic, & Zhou, Xuchen. A deep learning method for optimal investment under relative performance criteria among heterogeneous agents. European Journal of Operational Research, 326 (3). Retrieved from https://par.nsf.gov/biblio/10611452. https://doi.org/10.1016/j.ejor.2025.04.018

Laurière, Mathieu, Tangpi, Ludovic, and Zhou, Xuchen. "A deep learning method for optimal investment under relative performance criteria among heterogeneous agents". European Journal of Operational Research 326 (3). Country unknown/Code not available: Science Direct. https://doi.org/10.1016/j.ejor.2025.04.018. https://par.nsf.gov/biblio/10611452.

@article{osti_10611452,
place = {Country unknown/Code not available}, title = {A deep learning method for optimal investment under relative performance criteria among heterogeneous agents}, url = {https://par.nsf.gov/biblio/10611452}, DOI = {10.1016/j.ejor.2025.04.018}, abstractNote = {}, journal = {European Journal of Operational Research}, volume = {326}, number = {3}, publisher = {Science Direct}, author = {Laurière, Mathieu and Tangpi, Ludovic and Zhou, Xuchen}, }