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Checkpointing support with ray Tune #5

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AdamGleave opened this issue Mar 16, 2019 · 1 comment
Open

Checkpointing support with ray Tune #5

AdamGleave opened this issue Mar 16, 2019 · 1 comment
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enhancement New feature or request

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@AdamGleave
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It would be nice to make modelfree.hyperparams.train_rl a tune.Trainable rather than a function, adding checkpointing support. This would let us use the HyperBand and Population Based Training schedulers. Conceptually this is easy enough: we already supporting saving models via save_callbacks, and can restore using load_path. However, the interfaces don't quite line up: Ray expects _train to perform one small training step, with _save called in between. There's no good way to make Stable Baselines return part-way. We could call it repeatedly with small total_timesteps, but this would make the progress be wrong, breaking annealers.
@AdamGleave AdamGleave added the enhancement New feature or request label Mar 16, 2019
@AdamGleave AdamGleave mentioned this issue Nov 12, 2019
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Add support for this once ray-project/ray#6162 is closed / ray-project/ray#6192 is merged

@AdamGleave AdamGleave self-assigned this Nov 24, 2019
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