HLifeRL: A hierarchical lifelong reinforcement learning framework
Deep reinforcement learning research in a single-task environment has made remarkable achievements. However, it is often plagued by catastrophic forgetting, prohibitively low sample efficiency and lack of scalability problems when facing multi-task environment. To solve these issues, a Hierarchical...
| 發表在: | Journal of King Saud University: Computer and Information Sciences |
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| Main Authors: | , |
| 格式: | Article |
| 語言: | 英语 |
| 出版: |
Springer
2022-07-01
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| 主題: | |
| 在線閱讀: | http://www.sciencedirect.com/science/article/pii/S1319157822001501 |