no code implementations • 13 Jun 2023 • Abraham J. Fetterman, Ellie Kitanidis, Joshua Albrecht, Zachary Polizzi, Bryden Fogelman, Maksis Knutins, Bartosz Wróblewski, James B. Simon, Kanjun Qiu
Hyperparameter tuning of deep learning models can lead to order-of-magnitude performance gains for the same amount of compute.
1 code implementation • 24 Oct 2022 • Joshua Albrecht, Abraham J. Fetterman, Bryden Fogelman, Ellie Kitanidis, Bartosz Wróblewski, Nicole Seo, Michael Rosenthal, Maksis Knutins, Zachary Polizzi, James B. Simon, Kanjun Qiu
As a benchmark tailored for studying RL generalization, we introduce Avalon, a set of tasks in which embodied agents in highly diverse procedural 3D worlds must survive by navigating terrain, hunting or gathering food, and avoiding hazards.
1 code implementation • 30 Mar 2020 • Zachary Polizzi, Chuan-Yung Tsai
Generative adversarial networks (GANs) are capable of generating strikingly realistic samples but state-of-the-art GANs can be extremely computationally expensive to train.
no code implementations • 8 Apr 2014 • Tian-Shun Jiang, Zachary Polizzi, Christopher Yuan
We calculated the team skill of each graph using a right-hand eigenvector centrality measure.