Variational Information Bottleneck Regularized Deep Reinforcement Learning for Efficient Robotic Skill Adaptation
Deep Reinforcement Learning (DRL) algorithms have been widely studied for sequential decision-making problems, and substantial progress has been achieved, especially in autonomous robotic skill learning. However, it is always difficult to deploy DRL methods in practical safety-critical robot systems...
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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
MDPI AG
2023-01-01
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| Серія: | Sensors |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/1424-8220/23/2/762 |
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