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About Deprint 03 03 2019 1901.07859 PDF
1) MD-RNNs are recurrent neural networks that model predictions as a combination of multiple Gaussian distributions, allowing for several possible futures. 2) The paper analyzes predictions from MD-RNNs trained to model a simulated environment to gain insight into how they work. 3) It finds that the Gaussian components have two roles: separately modeling different stochastic events, and separately modeling scenarios governed by different rules.
Detailed Information
| Author: | ['gheorghe gardu'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 10 |
| Language: | English |
| Format: | |
| Price: | FREE |
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