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Sorry, I have a problem why don't directly output HQ in the synthetic/crl/envelope/meta.py learn(),
__, Q = self.model_(Variable(torch.cat(state_batch, dim=0)), Variable(w_batch), w_num=self.weight_num) # detach since we don't want gradients to propagate # HQ, _ = self.model_(Variable(torch.cat(next_state_batch, dim=0), volatile=True), # Variable(w_batch, volatile=True), w_num=self.weight_num) _, DQ = self.model(Variable(torch.cat(next_state_batch, dim=0), requires_grad=False), Variable(w_batch, requires_grad=False))
but in the synthetic/crl/energy/meta.py learn()
__, Q = self.model(Variable(torch.cat(state_batch, dim=0)), Variable(preference_batch), w_num=self.weight_num) # detach since we don't want gradients to propagate HQ, _ = self.model(Variable(torch.cat(next_state_batch, dim=0)), Variable(preference_batch), w_num=self.weight_num)
Why getting HQ takes two different approaches and what is the difference between them
The text was updated successfully, but these errors were encountered:
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Sorry, I have a problem why don't directly output HQ in the synthetic/crl/envelope/meta.py learn(),
but in the synthetic/crl/energy/meta.py learn()
Why getting HQ takes two different approaches and what is the difference between them
The text was updated successfully, but these errors were encountered: