def __init__()

in agents/bc_gan.py [0:0]

• 24 lines of code
• 1 McCabe index (conditional complexity)

    def __init__(self,
                 state_dim,
                 action_dim,
                 max_action,
                 device,
                 discount,
                 tau,
                 lr=3e-4,
                 ):
        noise_dim = min(action_dim, 10)
        self.noise = NormalNoise(device=device, mean=0.0, std=1.0)
        self.actor = ImplicitPolicy(state_dim, action_dim, max_action, self.noise, noise_dim, device).to(
            device)
        self.actor_target = copy.deepcopy(self.actor)
        self.actor_optimizer = torch.optim.Adam(self.actor.parameters(), lr=lr, betas=(0.4, 0.999))

        self.discriminator = Discriminator(state_dim=state_dim, action_dim=action_dim).to(device)
        self.discriminator_optimizer = torch.optim.Adam(self.discriminator.parameters(), lr=lr, betas=(0.4, 0.999))

        self.adversarial_loss = torch.nn.BCELoss()

        self.max_action = max_action
        self.action_dim = action_dim
        self.discount = discount
        self.tau = tau
        self.device = device
        self.g_iter = 2