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Sampling of VPG should be over D*T #361

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@HunderlineK HunderlineK commented Mar 11, 2022

I'm not 100% sure if this change is correct, but in the code we have:

    def compute_loss(obs, act, weights):
        logp = get_policy(obs).log_prob(act)
        return -(logp * weights).mean()

Where we average the loss over the total number of the observations.

I have also tried averaging just over D and the result doesn't improve properly.

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