Comments (3)
We should choose whether we do this or not before regenerating all the demos IMO. Once the demos are regenerated and the updated paper is out, it would be best to avoid changing the bot if possible.
from babyai.
Yes, I agree that it is time to finalize the ICLR version of the bot. I've tried to quickly make this change to the bot, and I found it not super-easy. Doing this properly requires copying a lot of code from OpenSubgoal
to GoNextToSubgoal
, the code that is responsible for dropping the key after the door is open and for picking up the object that the agent was carrying when it decided to go for the key. I can imagine another refactoring that makes this behavior more natural to implement, but I am not sure if this suboptimality is so important... what do you think?
from babyai.
If you can get it working by Jan 31st it could be ok. By then we really need to generate the demos and make sure that the code to run the experiments is still working correctly. Might be wise to start some test runs without waiting for all the demos to be generated.
from babyai.
Related Issues (20)
- You cannot pick up or put down objects in manual-mode in enjoy.py HOT 6
- Know full vocabulary apriori. HOT 2
- Impossible missions are sampled? HOT 2
- Question about performance HOT 2
- PutNextLocal HOT 8
- Bot bugs (attribute error: prev_carrying) HOT 2
- Unable to run PPO agent with arch=bow_endpool_res_pixels HOT 2
- What's the package version of gym-minigrid and gym used for the baseline results? HOT 2
- When I run 'BabyAI-PutNext-v0', it did not work after 24 hours' training... HOT 1
- Sampling unsolvable demonstrations
- Mission not accomplished in the last observation
- Error during install: "pip install --editable ." in babyai folder HOT 2
- What does the agent see, in 7x7? -- possible bug in the task? HOT 1
- Get demonstration for 'MiniGrid-MultiRoom-N4-S5-v0' HOT 1
- Headless rendering issue for environments with doors HOT 5
- Missing dependency for scikit-build HOT 4
- AttGRU model is broken + my quick Fix HOT 5
- Visualizing stored "images" HOT 2
- Publish pip package HOT 1
- enjoy.py script seems to expect old PyQT version of gym-minigrid HOT 3
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from babyai.