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In computer science, a predictive state representation (PSR) is a way to model a state of controlled dynamical system from a history of actions taken and resulting observations. PSR captures the state of a system as a vector of predictions for future tests (experiments) that can be done on the system. A test is a sequence of action-observation pairs and…
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Predictive state representation | related to References | Littman | 0.60 | section |
| Predictive state representation | related to References | Michael | 0.60 | section |
| Predictive state representation | related to References | Richard | 0.60 | section |
| Predictive state representation | related to References | Sutton | 0.60 | section |
| Predictive state representation | related to References | Satinder Singh | 0.60 | section |
| Predictive state representation | related to References | Predictive Representations | 0.60 | section |
| Predictive state representation | related to References | State | 0.60 | section |
| Predictive state representation | related to References | 0.60 | section | |
| Predictive state representation | related to References | Advances | 0.60 | section |
| Predictive state representation | related to References | Neural Information Processing Systems | 0.60 | section |
| Predictive state representation | related to References | NIPS | 0.60 | section |
| Predictive state representation | related to References | Singh | 0.60 | section |
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