Comments (2)
Since we are using pytorch default LSTM implementation without specifying h_0 and c_0, both the hidden units and cell units are initialized to 0 before processing any subsequence. This is somehow the best we can do, since we are sampling random subsequences from rollouts, and thus do not keep subsequences ordered (if subsequences were ordered, we could init h_0 and c_0 with the final h and c from the previous subsequence). In practice, my experience is that you gain more with input shuffling than with maintaining hidden states between sequences. Hope this helps.
from world-models.
Thanks for clarification.
from world-models.
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from world-models.