Construct · 1 fields · 1 citations

policy gradient: a standalone construct

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Reinforcement learning (machine learning)

adjusting a stochastic policy's parameters along an estimate of the gradient of expected reward, computed from sampled actions and returns.

In reinforcement learning (machine learning), policy gradient refers to adjusting a stochastic policy's parameters along an estimate of the gradient of expected reward, computed from sampled actions and returns. This meaning comes from Williams (1992) in Machine Learning.[1]

Unit
Recovery means
Measured by

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Nearby constructs

REINFORCE algorithm1 fields · 1 citationsanchor · a standalone construct deep deterministic policy gradient1 fields · 1 citationsanchor · a standalone construct gradient4 fields · 4 citationsjingle · one word, four constructs

References

Williams, R. J. (1992). Simple statistical gradient-following algorithms for connectionist reinforcement learning. Machine Learning, 8(3-4), 229-256. https://doi.org/10.1007/bf00992696

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