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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.06590 |
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| _version_ | 1866910522010501120 |
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| author | Carvalho, Wilka Tomov, Momchil S. de Cothi, William Barry, Caswell Gershman, Samuel J. |
| author_facet | Carvalho, Wilka Tomov, Momchil S. de Cothi, William Barry, Caswell Gershman, Samuel J. |
| contents | Adaptive behavior often requires predicting future events. The theory of reinforcement learning prescribes what kinds of predictive representations are useful and how to compute them. This paper integrates these theoretical ideas with work on cognition and neuroscience. We pay special attention to the successor representation (SR) and its generalizations, which have been widely applied both as engineering tools and models of brain function. This convergence suggests that particular kinds of predictive representations may function as versatile building blocks of intelligence. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_06590 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Predictive representations: building blocks of intelligence Carvalho, Wilka Tomov, Momchil S. de Cothi, William Barry, Caswell Gershman, Samuel J. Artificial Intelligence Machine Learning Adaptive behavior often requires predicting future events. The theory of reinforcement learning prescribes what kinds of predictive representations are useful and how to compute them. This paper integrates these theoretical ideas with work on cognition and neuroscience. We pay special attention to the successor representation (SR) and its generalizations, which have been widely applied both as engineering tools and models of brain function. This convergence suggests that particular kinds of predictive representations may function as versatile building blocks of intelligence. |
| title | Predictive representations: building blocks of intelligence |
| topic | Artificial Intelligence Machine Learning |
| url | https://arxiv.org/abs/2402.06590 |