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03/03/2018
Some Considerations on Learning to Explore via Meta-Reinforcement Learning
We consider the problem of exploration in meta reinforcement learning. T...
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02/13/2018
Evolved Policy Gradients
We propose a meta-learning approach for learning gradient-based reinforc...
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06/06/2017
Parameter Space Noise for Exploration
Deep reinforcement learning (RL) methods generally engage in exploratory...
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11/15/2016
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Count-based exploration algorithms are known to perform near-optimally w...
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06/12/2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
This paper describes InfoGAN, an information-theoretic extension to the ...
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05/31/2016
VIME: Variational Information Maximizing Exploration
Scalable and effective exploration remains a key challenge in reinforcem...
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08/03/2015
