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When experiments were run on the supercomputer, there were cases where the supercomputer terminated the process running the experiments. As a result, the entire experiment up to that point was lost.
Old solution
In previous versions of URNAI we have a class called Savable that allows you to save the logs, environment data, agent, etc. This way, if the experiment was terminated before the end, it was possible to return to the last valid state of the experiment and start again from there.
Discussion
We need something similar for the new version of URNAI. The old solution was not favorable due to the way it was implemented, requiring classes with different purposes to inherit from the same class. Furthermore, this function makes more sense in an experiment class than in classes with different purposes.
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Context
When experiments were run on the supercomputer, there were cases where the supercomputer terminated the process running the experiments. As a result, the entire experiment up to that point was lost.
Old solution
In previous versions of URNAI we have a class called Savable that allows you to save the logs, environment data, agent, etc. This way, if the experiment was terminated before the end, it was possible to return to the last valid state of the experiment and start again from there.
Discussion
We need something similar for the new version of URNAI. The old solution was not favorable due to the way it was implemented, requiring classes with different purposes to inherit from the same class. Furthermore, this function makes more sense in an experiment class than in classes with different purposes.
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