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Found 2 papers, 1 papers with code
On the Relationship Between RNN Hidden State Vectors and Semantic Ground Truth
We examine the assumption that the hidden-state vectors of recurrent neural networks (RNNs) tend to form clusters of semantically similar vectors, which we dub the clustering hypothesis.
Reinforcement Learning under Partial Observability Guided by Learned Environment Models
In practical applications, we can rarely assume full observability of a system's environment, despite such knowledge being important for determining a reactive control system's precise interaction with its environment.
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