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It is regrettable that we do not currently support this feature. This is because the test environments in Safet-Gymnasium do not seem to require it at the moment. Could you provide a specific scenario? We will consider developing support for this scenario in future versions.
For example, in order to speed up the convergence of a new environment model, I might use the previously trained model as a pre-trained model for the new model. Is this feasible? I hope it can support loading the trained model for retraining.
Thank you for your selfless open source spirit and super fast response speed
Required prerequisites
Questions
If I have already trained a model and I want to use this model as a pre-trained model for another algorithm, how should I load it?
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