Discovering and Exploiting Skills in Hierarchical Reinforcement Learning
Humans can perform infinite diverse skills. These skills typically represent abstract knowledge that is highly correlated with time series. To behave more like a human, we take a long-term planning perspective to discover and exploit skills (DES) in hierarchical reinforcement learning. We view the s...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10742376/ |
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