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Introducing Symmetries to Black Box Meta Reinforcement Learning

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Abstract

Meta reinforcement learning (RL) attempts to discover new RL algorithms automatically from environment interaction. In so-called black-box approaches, the policy and the learning algorithm are jointly represented by a single neural network. These methods are very flexible, but they tend to underperform in terms of generalisation to new,...More

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Author
Louis Kirsch
Louis Kirsch
Sebastian Flennerhag
Sebastian Flennerhag
Yutian Chen
Yutian Chen
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