Banker, Thomas, and Mesbah, Ali. Gradient-Based Framework for Bilevel Optimization of Black-Box Functions: Synergizing Model-Free Reinforcement Learning and Implicit Function Differentiation. Retrieved from https://par.nsf.gov/biblio/10626002. Industrial & Engineering Chemistry Research 64.5 Web. doi:10.1021/acs.iecr.4c03584.

Banker, Thomas, & Mesbah, Ali. Gradient-Based Framework for Bilevel Optimization of Black-Box Functions: Synergizing Model-Free Reinforcement Learning and Implicit Function Differentiation. Industrial & Engineering Chemistry Research, 64 (5). Retrieved from https://par.nsf.gov/biblio/10626002. https://doi.org/10.1021/acs.iecr.4c03584

Banker, Thomas, and Mesbah, Ali. "Gradient-Based Framework for Bilevel Optimization of Black-Box Functions: Synergizing Model-Free Reinforcement Learning and Implicit Function Differentiation". Industrial & Engineering Chemistry Research 64 (5). Country unknown/Code not available: ACS. https://doi.org/10.1021/acs.iecr.4c03584. https://par.nsf.gov/biblio/10626002.

@article{osti_10626002,
place = {Country unknown/Code not available}, title = {Gradient-Based Framework for Bilevel Optimization of Black-Box Functions: Synergizing Model-Free Reinforcement Learning and Implicit Function Differentiation}, url = {https://par.nsf.gov/biblio/10626002}, DOI = {10.1021/acs.iecr.4c03584}, abstractNote = {}, journal = {Industrial & Engineering Chemistry Research}, volume = {64}, number = {5}, publisher = {ACS}, author = {Banker, Thomas and Mesbah, Ali}, }