Some Considerations on Learning to Explore via Meta-Reinforcement Learning

Source
doi.org
Published
Mar 3, 2018

We consider the problem of exploration in meta reinforcement learning. Two new meta reinforcement learning algorithms are suggested: E-MAML and E-$\text{RL}^2$. Results are presented on a novel environment we call `Krazy World' and a set of maze environment...

doi.org

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Published
Mar 3, 2018
Uploaded
Jul 10, 2026
Uploaded by
Trevor McFedries
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