This approach comes with another major benefit: MuZero can repeatedly use its learned model to improve its planning, rather than collecting new data from the environment. For example, in tests on the Atari suite, this variant – known as MuZero Reanalyze – used the learned model 90% of the time to re-plan what should have been done in past episodes.
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