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There is also a bug in SAC, which makes it not learn the "state-preprocessor" (e.g. when you use a CNN in front of the policy- and Q-nets). The problem is in SAC's compute_and_clip_gradients (tf) and optimizer_fn (torch), where the optimizers are told to only optimize the policy and Q-nets, but never the pre-network.
Fixing this now ...
Is it possible to provide a custom model to SAC from a configuration file such as the case for
model
parameter as follows:The text was updated successfully, but these errors were encountered: