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11/18/2021
Finding Useful Predictions by Meta-gradient Descent to Improve Decision-making
In computational reinforcement learning, a growing body of work seeks to...
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01/23/2020
What's a Good Prediction? Issues in Evaluating General Value Functions Through Error
Constructing and maintaining knowledge of the world is a central problem...
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11/25/2019
Women, politics and Twitter: Using machine learning to change the discourse
Including diverse voices in political decision-making strengthens our de...
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08/15/2019
Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures
Predictions and predictive knowledge have seen recent success in improvi...
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04/18/2019
When is a Prediction Knowledge?
Within Reinforcement Learning, there is a growing collection of research...
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04/18/2019
Making Meaning: Semiotics Within Predictive Knowledge Architectures
Within Reinforcement Learning, there is a fledgling approach to conceptu...
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03/08/2019
Learning Feature Relevance Through Step Size Adaptation in Temporal-Difference Learning
There is a long history of using meta learning as representation learnin...
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04/10/2018