2a96754994e2c77b6a4593130f7fae4c4eb506bd,catalyst/rl/offpolicy/algorithms/core_discrete.py,Algorithm,__init__,#Algorithm#Any#Any#Any#Any#Any#Any#Any#Any#,21

Before Change

        self.critic_criterion = CRITERIONS.get_from_params(
            **self._critic_loss_params
        )
        if self.critic_criterion is not None \
                and torch.cuda.is_available():
            self.critic_criterion = self.critic_criterion.cuda()

        // optimizer
        critic_params = UtilsFactory.prepare_optimizable_params(
            self.critic.parameters())
        self._critic_optimizer_params = _copy_params(critic_optimizer_params)
        self.critic_optimizer = OPTIMIZERS.get_from_params(

After Change

        self.critic_scheduler = agent_stuff["scheduler"]
        // grad clipping
        self._critic_grad_clip_params = agent_stuff["grad_clip_params"]
        self.critic_grad_clip_fn = agent_stuff["grad_clip_fn"]

        // other hyperparameters
        self._n_step = n_step
        self._gamma = gamma

Instances