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Home Page: https://lucys0.github.io/awe/
Waypoint-Based Imitation Learning for Robotic Manipulation
Home Page: https://lucys0.github.io/awe/
Thanks for the code!
Do you have the GMM version of ACT that you described in the paper?
awe/waypoint_extraction/extract_waypoints.py
Lines 325 to 327 in 794ccd4
Hello, I am wondering what will happen when calling min_waypoints(i) when i == 1. It seems that the function will return nothing...
That means, if the error threshold is too small, the algorithm will fail to return a trajectory (we observe it in our experiment).
Hi, when trying to run the replay waypoint command I run into this issue
Hello, after I use waypoint to train in the simulation environment, I find that the success rate of using waypoint is 90%, while the success rate of not using waypoint is 98%, which decreases the success rate. May I ask why this is? Besides, the imitation learning performance is also related to the number of exploration states. Doesn't it affect his state space when using waypoint
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