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...
| Main Authors: | , , , , , |
|---|---|
| 格式: | Journal article |
| 语言: | English |
| 出版: |
Journal of Machine Learning Research
2020
|