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...
| Váldodahkkit: | , |
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| Materiálatiipa: | Artihkal |
| Giella: | English |
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Elsevier
2022-07-01
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| Ráidu: | Journal of King Saud University: Computer and Information Sciences |
| Fáttát: | |
| Liŋkkat: | http://www.sciencedirect.com/science/article/pii/S1319157822001501 |