76e1a4df9ed4303b5a9010347b467dd9b804d515,rllib/utils/exploration/gaussian_noise.py,GaussianNoise,_get_torch_exploration_action,#GaussianNoise#Any#Any#Any#,128

Before Change

                action = torch.clamp(
                    det_actions + gaussian_sample,
                    self.action_space.low * torch.ones_like(det_actions),
                    self.action_space.high * torch.ones_like(det_actions))
        // No exploration -> Return deterministic actions.
        else:
            action = action_dist.deterministic_sample()

After Change

                    mean=torch.zeros(det_actions.size()), std=self.stddev)
                action = torch.clamp(det_actions + gaussian_sample,
                                     self.action_space.low.item(0),
                                     self.action_space.high.item(0))
        // No exploration -> Return deterministic actions.
        else:
            action = action_dist.deterministic_sample()

Instances