Construct · 1 fields · 1 citations

REINFORCE algorithm: a standalone construct

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Reinforcement learning

a family of policy gradient methods that adjust policy parameters in proportion to the return times the gradient of the log probability of the action taken.

In reinforcement learning, REINFORCE algorithm refers to a family of policy gradient methods that adjust policy parameters in proportion to the return times the gradient of the log probability of the action taken. This meaning comes from Williams (1992) in Machine Learning.[1]

Unit
Recovery means
Measured by

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Nearby constructs

policy gradient1 fields · 1 citationsanchor · a standalone construct action3 fields · 6 citationsjingle · one word, three constructs family3 fields · 3 citationsjingle · one word, three 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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