
Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search
Neural Architecture Search (NAS) explores a large space of architectural...
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Generalized Hidden Parameter MDPs Transferable Modelbased RL in a Handful of Trials
There is broad interest in creating RL agents that can solve many (relat...
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Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
This paper investigates the intriguing question of whether we can create...
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Fully Convolutional Networks for Handwriting Recognition
Handwritten text recognition is challenging because of the virtually inf...
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An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents
Much human and computational effort has aimed to improve how deep reinfo...
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Efficient transfer learning and online adaptation with latent variable models for continuous control
Traditional modelbased RL relies on handspecified or learned models of...
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An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
Few ideas have enjoyed as large an impact on deep learning as convolutio...
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Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
Deep artificial neural networks (DNNs) are typically trained via gradien...
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Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of NoveltySeeking Agents
Evolution strategies (ES) are a family of blackbox optimization algorit...
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Robust Spatial Filtering with Graph Convolutional Neural Networks
Convolutional Neural Networks (CNNs) have recently led to incredible bre...
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Felipe Petroski Such
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