Continual Learning as Computationally Constrained Reinforcement Learning
Fuente:
arXiv
Gespeichert in:
| Hauptverfasser: | , , , , , , |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2023
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866909660336881664 |
|---|---|
| author | Kumar, Saurabh Marklund, Henrik Rao, Ashish Zhu, Yifan Jeon, Hong Jun Liu, Yueyang Van Roy, Benjamin |
| author_facet | Kumar, Saurabh Marklund, Henrik Rao, Ashish Zhu, Yifan Jeon, Hong Jun Liu, Yueyang Van Roy, Benjamin |
| contents | An agent that efficiently accumulates knowledge to develop increasingly sophisticated skills over a long lifetime could advance the frontier of artificial intelligence capabilities. The design of such agents, which remains a long-standing challenge of artificial intelligence, is addressed by the subject of continual learning. This monograph clarifies and formalizes concepts of continual learning, introducing a framework and set of tools to stimulate further research. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2307_04345 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Continual Learning as Computationally Constrained Reinforcement Learning Kumar, Saurabh Marklund, Henrik Rao, Ashish Zhu, Yifan Jeon, Hong Jun Liu, Yueyang Van Roy, Benjamin Machine Learning Artificial Intelligence An agent that efficiently accumulates knowledge to develop increasingly sophisticated skills over a long lifetime could advance the frontier of artificial intelligence capabilities. The design of such agents, which remains a long-standing challenge of artificial intelligence, is addressed by the subject of continual learning. This monograph clarifies and formalizes concepts of continual learning, introducing a framework and set of tools to stimulate further research. |
| title | Continual Learning as Computationally Constrained Reinforcement Learning |
| topic | Machine Learning Artificial Intelligence |
| url | https://arxiv.org/abs/2307.04345 |