As far I understand, ACT for Aloha was trained for each task separately, but I am unsure about the same for the ACT model in mobile Aloha?
If a single model is trained for all tasks in mobile Aloha, how does the model now which task to do? Is it just from the starting condition?
Also, within the same task, are all the subtasks trained together. If so, I was a bit confused how would each subtask accuracy be calculated seperately as done in the paper. As I believe the model takes in continuous stream of input and it would be hard to stop in the middle and start. Maybe I am missing something.
Again congrats on the paper and looking forward to your response.
Hello,
Congrats on the nice work. I had a few questions:
As far I understand, ACT for Aloha was trained for each task separately, but I am unsure about the same for the ACT model in mobile Aloha?
If a single model is trained for all tasks in mobile Aloha, how does the model now which task to do? Is it just from the starting condition?
Also, within the same task, are all the subtasks trained together. If so, I was a bit confused how would each subtask accuracy be calculated seperately as done in the paper. As I believe the model takes in continuous stream of input and it would be hard to stop in the middle and start. Maybe I am missing something.
Again congrats on the paper and looking forward to your response.
Best, Ankit