no code implementations • 22 Mar 2024 • Zuyuan Zhang, Hanhan Zhou, Mahdi Imani, Taeyoung Lee, Tian Lan
With the advancements of artificial intelligence (AI), we're seeing more scenarios that require AI to work closely with other agents, whose goals and strategies might not be known beforehand.
no code implementations • 25 Jan 2024 • Yongsheng Mei, Mahdi Imani, Tian Lan
Bayesian optimization (BO) has established itself as a leading strategy for efficiently optimizing expensive-to-evaluate functions.
1 code implementation • 13 Oct 2022 • Yongsheng Mei, Tian Lan, Mahdi Imani, Suresh Subramaniam
This joint distribution is used in the body of the BO acquisition functions to search for local optima during the optimization process.
no code implementations • 21 Jul 2022 • Mohammad Alali, Mahdi Imani
A major goal in genomics is to properly capture the complex dynamical behaviors of gene regulatory networks (GRNs).
no code implementations • NeurIPS 2018 • Mahdi Imani, Seyede Fatemeh Ghoreishi, Ulisses M. Braga-Neto
In the online stage, the action with the maximum expected return with respect to the posterior distribution of the parameters is selected.
no code implementations • 24 Feb 2017 • Mahdi Imani, Ulisses Braga-Neto
Reinforcement learning then is used to learn the cost function from the available gene expression data.