JasAva

Results 5 issues of JasAva

Thanks for the excellent implementations of multiple classic RL agents, I have tried some of them, worked very well. Just curious, do you plan to add the prioritized experience replay...

Thanks for the comprehensive implementation. Really helpful for understanding the various metric learning loss. I'm wondering if you can shed some insights on the modified loss function, which takes a...

Thanks for the amazing implementation. Some questions regarding the implementation details of the model_gcn.py. 1.line 27, why set global feature link adj[-1,:-1]=0? Why not keep adj symmetrical as the rest...

Thanks for the inspiring implementation. :) Have some trouble to reproduce the duke2market results using 2 GPUs, as I've achieved blew results using default parameters and pre-trained model: 1 GPU...

Thanks for the amazing dataset. I'm using Matlab to check the keypoints of randperson_subset (randperson_subset_point.txt). From my understanding, there are 9 pairs of (x,y), and start from the 3rd pair...