def __init__()

in agents/bc_kl.py [0:0]


    def __init__(self,
                 state_dim,
                 action_dim,
                 max_action,
                 device,
                 discount,
                 tau,
                 lr=3e-4,
                 num_samples_match=10,
                 kl_type='backward'
                 ):

        latent_dim = action_dim * 2
        self.vae = VAE(state_dim, action_dim, latent_dim, max_action, device).to(device)
        self.vae_optimizer = torch.optim.Adam(self.vae.parameters(), lr=lr)

        self.actor = RegularActor(state_dim, action_dim, max_action, device).to(device)
        self.actor_optimizer = torch.optim.Adam(self.actor.parameters(), lr=lr)

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

        self.num_samples_match = num_samples_match
        self.kl_type = kl_type