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Hi, I'm wondering if the goal condition experiment examples are working correctly. I noticed that these experiment examples seem to be located in the 'temporarily_deactivated' folder.
The text was updated successfully, but these errors were encountered:
Hi @www-Ye, yes the goal-conditioned examples have not been supported for a few weeks now. The hindsight relabeling technique was built on a convoluted sequence of gym.Wrappers that I removed as part of a large update (PR #51). I need to remake them with a new system. I've gone ahead and done this for the maze problem in the paper in a new example 13_mazerunner_relabeling (PR #74). I added a lot of comments so that it might serve as a copy/paste starting point for another env (or simpler HER).
Unfortunately I currently have no plans to remake the goal-conditioned crafter experiments, as the training runs take too long to test/debug. However I put a lot of effort into replicating those experiments in the git history. You can rewind to https://github.com/UT-Austin-RPL/amago/tree/v2 to use it if necessary, and there used to be a jupyter notebook demo where you could load a pre-trained checkpoint and visualize crafter instructions (https://github.com/UT-Austin-RPL/amago/blob/v2/examples/crafter_pixels_demo.ipynb).
Thank you for your response and the updates. I also noticed that I was able to successfully train using the goal condition mazerunner with the amago v2 version.
I was wondering why you chose to remove all of the old goal condition code. From the mazerunner experiments, what are the key differences between the two versions?
Hi, I'm wondering if the goal condition experiment examples are working correctly. I noticed that these experiment examples seem to be located in the 'temporarily_deactivated' folder.
The text was updated successfully, but these errors were encountered: