I'm training a A3C these days, but the NN always take the same action, after some steps.
The game I train for is similar to playing Go. There will be few reward in the short term. So it hard to learn something useful for the NN form the game. Maybe that is where the problem is. I tried ' torch.nn.utils.clip_grad_norm(lnet.parameters(), 50) ', and used relu as activate function. But it doesn't work.
I'm training a A3C these days, but the NN always take the same action, after some steps. The game I train for is similar to playing Go. There will be few reward in the short term. So it hard to learn something useful for the NN form the game. Maybe that is where the problem is. I tried ' torch.nn.utils.clip_grad_norm(lnet.parameters(), 50) ', and used relu as activate function. But it doesn't work.