Discovering knowledge abstractions for sample efficient embodied transfer learning
This thesis concerns sample-efficient embodied machine learning. Machine learning success in sequential decision problems has been limited to domains with a narrow range of goals, requiring orders more experience than humans. Additionally, they lack the ability to generalise to new related goals. In...
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| Format: | Thesis |
| Language: | English |
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2022
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