Probabilistic generative modeling and reinforcement learning extract the intrinsic features of animal behavior

Volume: 145, Pages: 107 - 120
Published: Jan 1, 2022
Abstract
It is one of the ultimate goals of ethology to understand the generative process of animal behavior, and the ability to reproduce and control behavior is an important step in this field. However, it is not easy to achieve this goal in systems with complex and stochastic dynamics such as animal behavior. In this study, we have shown that MDN-RNN,a type of probabilistic deep generative model, is able to reproduce stochastic animal behavior with...
Paper Details
Title
Probabilistic generative modeling and reinforcement learning extract the intrinsic features of animal behavior
Published Date
Jan 1, 2022
Volume
145
Pages
107 - 120
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