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dbsxdbsx avatar dbsxdbsx commented on August 22, 2024 1

I see, thanks for your answer.

from alphazero-gym.

timoklein avatar timoklein commented on August 22, 2024

Personally, with raw SAC, I could make pendulum converge to a range around [-500,-200)

It's the same for this repo. With a bit of hyperparameter tuning you can get to around -200 repeatedly.

1 minute on laptop of a Geforce 940M GPU

If your laptop has a GPU, I'd say it's well above average :) The one hour refers to e.g. your standard Intel built-in graphics. AlphaZero will still be a lot slower than SAC though due to the planning required at every time step. MCTS rollouts in Python are just very slow...
You can try to adapt the n_rollouts parameter in the MCTS config and see if you can lower it without affecting performance. That's the parameter affecting training throughput the most.

from alphazero-gym.

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