Construct · 1 fields · 1 citations

generalized advantage estimation: a standalone construct

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Reinforcement learning (machine learning)

an estimator of the advantage function that takes an exponentially weighted average of multi-step temporal difference errors, trading bias against variance.

In reinforcement learning (machine learning), generalized advantage estimation refers to an estimator of the advantage function that takes an exponentially weighted average of multi-step temporal difference errors, trading bias against variance. This meaning comes from Schulman (2015) in arXiv.[1]

Unit
Recovery means
Measured by

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Nearby constructs

bias6 fields · 8 citationsjingle · one name, six constructs estimation3 fields · 3 citationsjingle · one word, three constructs estimator2 fields · 2 citationsjingle · one word, two constructs

References

Schulman, J., Moritz, P., Levine, S., Jordan, M., & Abbeel, P. (2015). High-Dimensional Continuous Control Using Generalized Advantage Estimation. arXiv. https://doi.org/10.48550/arxiv.1506.02438

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