dqn.py 文件源码

def loss(output, target, *args):
        assert isinstance(output, Variable) and isinstance(target, Variable)
        # return torch.mean(torch.sum((output - target).clamp(-1, 1) ** 2, dim=1))
        return F.smooth_l1_loss(output, target, size_average=False)