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03/30/2022
Investigating the Properties of Neural Network Representations in Reinforcement Learning
In this paper we investigate the properties of representations learned b...
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02/22/2022
Continual Auxiliary Task Learning
Learning auxiliary tasks, such as multiple predictions about the world, ...
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11/16/2021
Off-Policy Actor-Critic with Emphatic Weightings
A variety of theoretically-sound policy gradient algorithms exist for th...
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11/15/2018
Context-Dependent Upper-Confidence Bounds for Directed Exploration
Directed exploration strategies for reinforcement learning are critical ...
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11/15/2018
The Utility of Sparse Representations for Control in Reinforcement Learning
We investigate sparse representations for control in reinforcement learn...
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07/26/2017