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Efficient Reinforcement Learning by Guiding World Models with ...

The work addresses the challenge of improving sample efficiency in reinforcement learning (RL) by leveraging non-curated offline datasets which are reward-free, of mixed quality, and collected from multiple embodiments during online reinforcement learning.

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