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If I want to change distribution , how can I do it?
Here is my situation
I made an agent that was based on PPO(diagonal dist) by imitation learning library( behavioral cloning)
And then, Finetuning the pretrained model use a 'gSDE' (StatedependentDist)
It is right to change a sde_sample_freq from 1 to n?
How can i create a normalized observation(for demonstration data)? Is it okay to use a VecNormEnv?
Might i get any hit about the above issues?
Thank you!
Checklist
I have checked that there is no similar issue in the repo
❓ Question
How are you @araffin ?
I have two questions
Here is my situation
I made an agent that was based on PPO(diagonal dist) by imitation learning library( behavioral cloning)
And then, Finetuning the pretrained model use a 'gSDE' (StatedependentDist)
It is right to change a sde_sample_freq from 1 to n?
Might i get any hit about the above issues?
Thank you!
Checklist
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