Hierarchical Reinforcement Learning: A Survey and Open Research Challenges
Reinforcement learning (RL) allows an agent to solve sequential decision-making problems by interacting with an environment in a trial-and-error fashion. When these environments are very complex, pure random exploration of possible solutions often fails, or is very sample inefficient, requiring an u...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
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MDPI AG
2022-02-01
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| Serie: | Machine Learning and Knowledge Extraction |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2504-4990/4/1/9 |
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