a00144f746bb2ba4da5b1ddaf4954d6f5320c953,rllib/agents/ddpg/ddpg_torch_model.py,DDPGTorchModel,__init__,#DDPGTorchModel#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,22

Before Change

                    torch.from_numpy(low_action)
                return actions

        self.policy_model.add_module("action_out_squashed", _Lambda())

        // Build the Q-net(s), including target Q-net(s).
        def build_q_net(name_):
            activation = get_activation_fn(

After Change

                return squashed

        // Only squash if we have bounded actions.
        if self.bounded:
            self.policy_model.add_module("action_out_squashed", _Lambda())

        // Build the Q-net(s), including target Q-net(s).
        def build_q_net(name_):
            activation = get_activation_fn(
                critic_hidden_activation, framework="torch")
            // For continuous actions: Feed obs and actions (concatenated)

Instances