Robust reinforcement learning with Bayesian optimisation and quadrature
Bayesian optimisation has been successfully applied to a variety of reinforcement learning problems. However, the traditional approach for learning optimal policies in simulators does not utilise the opportunity to improve learning by adjusting certain environment variables: state features that are...
| 主要な著者: | , , , , , |
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| フォーマット: | Journal article |
| 言語: | English |
| 出版事項: |
Journal of Machine Learning Research
2020
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