Search Results for author: Sebastian Towers

Found 2 papers, 0 papers with code

Meta-learning the mirror map in policy mirror descent

no code implementations7 Feb 2024 Carlo Alfano, Sebastian Towers, Silvia Sapora, Chris Lu, Patrick Rebeschini

Policy Mirror Descent (PMD) is a popular framework in reinforcement learning, serving as a unifying perspective that encompasses numerous algorithms.

Meta-Learning

Arbitrary Order Meta-Learning with Simple Population-Based Evolution

no code implementations16 Mar 2023 Chris Lu, Sebastian Towers, Jakob Foerster

Meta-learning, the notion of learning to learn, enables learning systems to quickly and flexibly solve new tasks.

Meta-Learning Time Series +1

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