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...
محفوظ في:
| المؤلفون الرئيسيون: | , |
|---|---|
| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
Springer
2022-07-01
|
| سلاسل: | Journal of King Saud University: Computer and Information Sciences |
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://www.sciencedirect.com/science/article/pii/S1319157822001501 |
| الوسوم: |
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|