Diversity-driven extensible hierarchical reinforcement learning
Hierarchical reinforcement learning (HRL) has recently shown promising advances on speeding up learning, improving the exploration, and discovering intertask transferable skills. Most recent works focus on HRL with two levels, i.e., a master policy manipulates subpolicies, which in turn manipulate p...
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| Natura: | Conference item |
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AAAI Press
2019
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