When Does Non-Uniform Replay Matter in Reinforcement Learning?

In three linesStudy on non-uniform replay effectiveness in off-policy RL. Authors identify three key factors: replay volume, recency of transitions, and entropy of sampling distribution. They propose Truncated Geometric replay, which biases toward recent experience while maintaining high entropy, improving sample efficiency in low-volume regimes.

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