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Deterministic sampling with Gym environments

See original GitHub issue

Hello everybody,

when I used Garage’s EpsilonGreedyStrategy and Gym environments I found that sampling is not deterministic. I’ve set the seed via deterministic.set_seed(seed). After some investigation I found that Garage doesn’t set any seeds for Gym. Is there any reason for that? As a user I would actually expect that Garage handles all that for me. Happy to do a PR in case you feel like this should be added!

Issue Analytics

State:
Created 3 years ago
Comments:11 (6 by maintainers)

Top GitHub Comments

1reaction

ryanjuliancommented, Dec 4, 2020

I left a couple comments on the PR, otherwise this looks good to me!

0reactions

MkuuWaUjingacommented, Dec 4, 2020

Hi @ryanjulian and @krzentner, any update on this? Otherwise I would continue with extending the Environment API and add seeding for libraries other than Gym.

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