Comments (1)
Hi @QiXuanWang this is to achieve the following which is described in the author's original implementation: https://github.com/avivt/VIN/blob/master/vin.py#L242
# Select the conv-net channels at the state position (S1,S2).
# This intuitively corresponds to each channel representing an action, and the convnet the Q function.
# The tricky thing is we want to select the same (S1,S2) position *for each* channel and for each sample
from pytorch-value-iteration-networks.
Related Issues (11)
- What is X,S1,S2,label in dataset.py? HOT 4
- Does this repo support Pytorch 1.x? HOT 1
- Problem of running dataset/make_training_data.py script HOT 5
- Inconsistent tensor sizes when starting training HOT 2
- testing accuracy fairly low HOT 10
- Problem of running the test script HOT 3
- Prebuilt Dataset Generation HOT 5
- the rollout accuracy in test script is lower than the test accuracy in train script. HOT 4
- RUN ERROR HOT 3
- KeyError: 'arr_1 is not a file in the archive' HOT 1
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