Comments (1)
Hi,
Thank you for your interest in our work. There are two different things: generating novel trajectories and replaying existing trajectories. In the first case, we randomly sample task parameters. In the second case, we take existing task parameters. For synthetic language demonstrations (e.g. generating novel trajectories), we use this script. The script spawns multiple threads and randomly samples task parameters. The script is almost identical to the original script provided by ALFRED authors, you can read more about the data generation here. Talking about replaying existing trajectories, we do it using this script in order to record an LMDB dataset used later for training. Feel free to also check Appendix A.2 of our paper where we compare agents trained on synthetic dataset of different sizes.
Hope this helps!
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Related Issues (15)
- Not able to render on Colab HOT 1
- Stuck while rendering trajectory and Error in trying evaluation task HOT 6
- Unable to download the pretrained checkpoints HOT 5
- Evaluating only sub-goals HOT 1
- How to generate the results on the testing set for the ALFRED leaderboard?
- Unable to download checkpoints with the given link HOT 1
- Share pretrained checkpoint trainning process
- Share 45k synthetic trajectories HOT 6
- Trajectories were skipped HOT 3
- Questions about the pretrained model. HOT 2
- Error in trying evaluation task HOT 6
- lack of file causes difficulty to reproduce the result HOT 1
- Stuck while rendering trajectory HOT 10
- render_trajs Seems to get stuck
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