4 citations · 5 across the 3 of their papers we have counts for
3 papers
Accelerating Reinforcement Learning Training Using Simulation Surrogate Models
Mohammadmahdi Ghasemloo, David J. Eckman, Yaxian Li
High-fidelity simulation models are widely used to analyze complex stochastic systems, but their high computational cost motivates the development of cheaper surrogate models that…
An Agglomerative Clustering of Simulation Output Distributions Using Regularized Wasserstein Distance
Mohammadmahdi Ghasemloo, David J. Eckman
Using statistical learning methods to analyze stochastic simulation outputs can significantly enhance decision-making by uncovering relationships between different simulated system…
Comparing the Finite-Time Performance of Simulation-Optimization Algorithms
Naijia Dong, David J. Eckman, Matthias Poloczek +2
We empirically evaluate the finite-time performance of several simulation-optimization algorithms on a testbed of problems with the goal of motivating further development of algori…