Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Williams, R. J. (1992). Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning. Machine Learning, 229-256.

Type

Journal article

Intellectual base

Primary research

Year

1992

Pages

229-256

DOI

10.1007/bf00992696

DOI registrant

Springer Nature

Link

https://doi.org/10.1007/BF00992696

Cited by

1 citation across 1 artifact.

Domain-specific

• Model-Free Reinforcement Learning
  • REINFORCE provides the classic likelihood-ratio form without learning transition probabilities.

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