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Alex Kearney

Finding Useful Predictions by Meta-gradient Descent to Improve Decision-making

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Nov 18, 2021
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What's a Good Prediction? Issues in Evaluating General Value Functions Through Error

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Jan 23, 2020
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Women, politics and Twitter: Using machine learning to change the discourse

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Nov 25, 2019
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Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures

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Aug 15, 2019
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When is a Prediction Knowledge?

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Apr 18, 2019
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Making Meaning: Semiotics Within Predictive Knowledge Architectures

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Apr 18, 2019
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Learning Feature Relevance Through Step Size Adaptation in Temporal-Difference Learning

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Mar 08, 2019
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TIDBD: Adapting Temporal-difference Step-sizes Through Stochastic Meta-descent

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Apr 10, 2018
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