feature: model pool in each worker

DeNA / HandyRL

HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.

MIT License

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feature: model pool in each worker #342

Open YuriCat opened 1 year ago

YuriCat commented 1 year ago

We can easily change the number of pooled models in each worker. (TODO: Can we prioritize which model to save?)