Issues
- 1
generalization capabilities
#24 opened by Yuanzizizi - 5
train.py --policy cadrl problem
#23 opened by MandyZhang4869 - 3
memory leak for multi-human policies
#22 opened by huiwenzhang - 2
How to run LM-SARL-Linear
#21 opened by touranisatyajit - 1
AssertionError: The environment must specify an action space. https://www.gymlibrary.dev/content/environment_creation/
#20 opened by grlinnn - 1
RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.FloatTensor [100, 6, 32]], which is output 0 of ReluBackward0, is at version 1; expected version 0 instead. Hint: enable anomaly detection to find the operation that failed to compute its gradient, with torch.autograd.set_detect_anomaly(True).
#19 opened by BeitaNine - 3
training problem
#13 opened by mathpix111 - 1
run python train.py --policy rgl in (torch) root@ninebeita:/home/nine_beita/RelationalGraphLearning/crowd_nav#
#18 opened by BeitaNine - 0
run pytest tests/*.py
#17 opened by BeitaNine - 2
drawing issue
#9 opened by Lyy369 - 1
train issue, please help me
#16 opened by hurong971013 - 4
git.exc.InvalidGitRepositoryError
#15 opened by asialulu - 1
A question about the approach
#14 opened by George-Chia - 1
Dynamic number of pedestrians
#12 opened by mincheulkim - 1
Training different policy didn't work
#10 opened by mincheulkim - 1
Train with real human trajectory
#11 opened by mincheulkim - 4
Training different kinematics
#5 opened by saaangooooo - 1
A small bug
#8 opened by George-Chia - 4
- 2
How to shorten the training time?
#6 opened by Affan-Hillergrand - 4
Error while running train.py on GPU
#2 opened by Shuijing725 - 1
Training different policys
#3 opened by liangjiaxuan1018