gaussian_mlp_policy.py 文件源码

def dist_info_sym(self, obs_var, state_info_vars=None):
        mean_var, log_std_var = L.get_output(
            [self._l_mean, self._l_log_std], obs_var)
        if self.min_std is not None:
            log_std_var = TT.maximum(log_std_var, np.log(self.min_std))
        return dict(mean=mean_var, log_std=log_std_var)