All episodes SAME REWARD!

Dears,
Thank you for framework, Please see the output of hyperparameter training on SB3 algorithm, why the reward in all episodes doesn`t change, what`s the problem?(I copied only three outputs)The reward output is the same in every study for any hyperparameter configuration

---------------------------------
| time/ | |
| episodes | 172 |
| fps | 92 |
| time_elapsed | 1014 |
| total_timesteps | 93568 |
| train/ | |
| actor_loss | 5.13 |
| critic_loss | 7.43 |
| ent_coef | 0.00201 |
| learning_rate | 0.0148 |
| n_updates | 93447 |
| reward | **-3.8389** |
---------------------------------

---------------------------------
| time/ | |
| episodes | 176 |
| fps | 92 |
| time_elapsed | 1039 |
| total_timesteps | 95744 |
| train/ | |
| actor_loss | 4.84 |
| critic_loss | 39.8 |
| ent_coef | 0.00201 |
| learning_rate | 0.0148 |
| n_updates | 95623 |
| reward | **-3.8389** |
---------------------------------

---------------------------------
| time/ | |
| episodes | 180 |
| fps | 92 |
| time_elapsed | 1062 |
| total_timesteps | 97920 |
| train/ | |
| actor_loss | 4.44 |
| critic_loss | 3.66 |
| ent_coef | 0.00201 |
| learning_rate | 0.0148 |
| n_updates | 97799 |
| reward | **-3.8389** |
---------------------------------