rl-max

Gradient penalty "interpolates" term

1

Hi, This is **'cal_grad_penalty'** function in `/src/utils/losses.py` ``` def cal_grad_penalty(real_images, real_labels, fake_images, discriminator, device): batch_size, c, h, w = real_images.shape alpha = torch.rand(batch_size, 1) alpha = alpha.expand(batch_size, real_images.nelement() // batch_size).contiguous().view(batch_size,...

Hi, do you provide an **optimal** planner to generate actions to reach the current target? I searched the code and found BFS function `def breadth_first_search()` in `memory_maze/oracle.py` However, it was...