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Found 4 papers, 2 papers with code
Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds
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.
FusedProp: Towards Efficient Training of Generative Adversarial Networks
Generative adversarial networks (GANs) are capable of generating strikingly realistic samples but state-of-the-art GANs can be extremely computationally expensive to train.
A Networks and Machine Learning Approach to Determine the Best College Coaches of the 20th-21st Centuries
We calculated the team skill of each graph using a right-hand eigenvector centrality measure.
Tune As You Scale: Hyperparameter Optimization For Compute Efficient Training
Hyperparameter tuning of deep learning models can lead to order-of-magnitude performance gains for the same amount of compute.
