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01/06/2022
Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets
In this paper we propose to study generalization of neural networks on s...
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10/30/2018
Exploration by Random Network Distillation
We introduce an exploration bonus for deep reinforcement learning method...
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08/13/2018
Large-Scale Study of Curiosity-Driven Learning
Reinforcement learning algorithms rely on carefully engineering environm...
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10/10/2017
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
Ability to continuously learn and adapt from limited experience in nonst...
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11/14/2016
On the Quantitative Analysis of Decoder-Based Generative Models
The past several years have seen remarkable progress in generative model...
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09/01/2015
Importance Weighted Autoencoders
The variational autoencoder (VAE; Kingma, Welling (2014)) is a recently ...
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12/30/2014
