1c7c76e3ac8d1c0b10a5f91efcf56d804d8bca26,tensorforce/agents/random_agent.py,RandomAgent,act,#RandomAgent#Any#Any#,40

Before Change

        self.current_action = dict()
        for name, action in self.actions_config.items():
            if action.continuous:
                action = random()
                if "min_value" in action:
                    action = action.min_value + random() * (action.max_value - action.min_value)
                else:
                    action = gauss(mu=0.0, sigma=1.0)

After Change

                if action.min_value is None:
                    action = np.random.randn(*action.shape)
                else:
                    action = action.min_value + np.random.rand(*action.shape) * (action.max_value - action.min_value)
            else:
                action = np.random.randint(action.num_actions, size=action.shape)
            self.current_action[name] = action

Instances