Comments (1)
Hi, thanks for the question.
Therefore i would like to incorporate some kind of reinitialization of whole search (basically starting trainer.run with multiple different seeds).
The seed
that trainer accepts is mainly for environmental randomness.
For policies, you can programmatically supply different initial values (e.g., here is the code in PGPE)
Let me know if this answers your question.
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