Black-box policy search with probabilistic programs
In this work we show how to represent policies as programs: that is, as stochastic simulators with tunable parameters. To learn the parameters of such policies we develop connections between black box variational inference and existing policy search approaches. We then explain how such learning can...
| Những tác giả chính: | , , , |
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| Định dạng: | Conference item |
| Được phát hành: |
Journal of Machine Learning Research
2016
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