September 2018
Intermediate to advanced
296 pages
9h 10m
English
Content preview from Python Reinforcement Learning Projects
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Training algorithm
The training steps for the Controller is as follows:
- For each episode, do the following:
- Generate m child network architectures
- Train child networks on given task and obtain m validation accuracies
- Calculate
- Update
In Zoph et al., the training procedure is done with several copies of the Controller. Each Controller is parameterized by , which itself is stored in a distributed manner among multiple servers, which we call ...
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