Search Results for author: Mahdi Imani

Found 6 papers, 1 papers with code

Collaborative AI Teaming in Unknown Environments via Active Goal Deduction

no code implementations22 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.

Starcraft Starcraft II

Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data

no code implementations25 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.

Bayesian Optimization

A Bayesian Optimization Framework for Finding Local Optima in Expensive Multi-Modal Functions

1 code implementation13 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.

Bayesian Optimization

Inference of Regulatory Networks Through Temporally Sparse Data

no code implementations21 Jul 2022 Mohammad Alali, Mahdi Imani

A major goal in genomics is to properly capture the complex dynamical behaviors of gene regulatory networks (GRNs).

Bayesian Optimization

Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments

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.

Decision Making Gaussian Processes

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