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Scalable hierarchical evolution strategies
Hierarchical reinforcement learning (HRL) has been steadily growing in popularity for solving the hardest reinforcement learning problems. However, current HRL algorithms are relatively slow and brittle to hyperparameter changes. This paper offers a solution to these slow and brittle HRL algorithms,...
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| Format: | Thesis |
| Language: | English |
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Department of Computer Science
2023
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