Construct · 1 fields · 1 citations

prioritized experience replay: a standalone construct

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Reinforcement learning (machine learning)

replaying stored transitions more often when their temporal difference error is large, so an agent learns faster from surprising experience.

In reinforcement learning (machine learning), prioritized experience replay refers to replaying stored transitions more often when their temporal difference error is large, so an agent learns faster from surprising experience. This meaning comes from Schaul (2015) in arXiv.[1]

Unit
Recovery means
Measured by

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Nearby constructs

agent3 fields · 5 citationsjingle · one word, three constructs experience4 fields · 6 citationsjingle · one word, four constructs error4 fields · 8 citationsjingle · one word, four constructs

References

Schaul, T., Quan, J., Antonoglou, I., & Silver, D. (2015). Prioritized Experience Replay. arXiv. https://doi.org/10.48550/arxiv.1511.05952

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