Associative Learning of an Unnormalized Successor Representation

Niels J Verosky1

  • 1Department of Psychology, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates niels.verosky@gmail.com.

Neural Computation
|May 22, 2024
PubMed
Summary

Hebbian learning, a form of associative learning, is an unnormalized version of the successor representation. These two models converge when states are equally frequent, offering new insights into temporal association and representation learning.

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