Search Results for author: Anna Koop

Found 5 papers, 0 papers with code

What Should I Know? Using Meta-gradient Descent for Predictive Feature Discovery in a Single Stream of Experience

no code implementations13 Jun 2022 Alexandra Kearney, Anna Koop, Johannes Günther, Patrick M. Pilarski

In computational reinforcement learning, a growing body of work seeks to construct an agent's perception of the world through predictions of future sensations; predictions about environment observations are used as additional input features to enable better goal-directed decision-making.

Continual Learning Decision Making

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

no code implementations18 Nov 2021 Alex Kearney, Anna Koop, Johannes Günther, Patrick M. Pilarski

In computational reinforcement learning, a growing body of work seeks to express an agent's model of the world through predictions about future sensations.

Decision Making

What's a Good Prediction? Challenges in evaluating an agent's knowledge

no code implementations23 Jan 2020 Alex Kearney, Anna Koop, Patrick M. Pilarski

Constructing general knowledge by learning task-independent models of the world can help agents solve challenging problems.

Continual Learning General Knowledge

The Forget-me-not Process

no code implementations NeurIPS 2016 Kieran Milan, Joel Veness, James Kirkpatrick, Michael Bowling, Anna Koop, Demis Hassabis

We introduce the Forget-me-not Process, an efficient, non-parametric meta-algorithm for online probabilistic sequence prediction for piecewise stationary, repeating sources.

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