arXiv (Cornell University)· 2018· Preprint
Recurrent World Models Facilitate Policy Evolution
- 411citations
- 2018year
Short summary
A generative recurrent neural network trained unsupervisedly to model RL environments achieved state-of-the-art results when its extracted features were used to train compact policies via evolution.
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