diff --git a/README.md b/README.md
index 73cfcc9..04e32ff 100644
--- a/README.md
+++ b/README.md
@@ -26,7 +26,7 @@ This course is **self-paced** you can start when you want 🥳.
 | [Published 🥳](https://github.com/huggingface/deep-rl-class/tree/main/unit1/unit1-bonus) | [Bonus](https://github.com/huggingface/deep-rl-class/tree/main/unit1/unit1-bonus)                                                    |                                                               |
 | [Published 🥳](https://github.com/huggingface/deep-rl-class/blob/main/unit2/README.md)| [Q-Learning](https://github.com/huggingface/deep-rl-class/blob/main/unit2/README.md)                                               | [Train an agent to cross a Frozen lake ⛄ and train an autonomous taxi 🚖](https://github.com/huggingface/deep-rl-class/blob/main/unit2/unit2.ipynb).                                                                                                        |
 | [Published 🥳](https://github.com/huggingface/deep-rl-class/tree/main/unit3#unit-3-deep-q-learning-with-atari-games-) | [Deep Q-Learning](https://github.com/huggingface/deep-rl-class/tree/main/unit3#unit-3-deep-q-learning-with-atari-games-)                      | Train a Deep Q-Learning agent to play Space Invaders using [RL-Baselines3-Zoo](https://github.com/DLR-RM/rl-baselines3-zoo)                                                    |
-| [Published 🥳](https://github.com/huggingface/deep-rl-class/blob/main/unit3/README.md)| [Bonus: Automatic Hyperparameter Tuning using Optuna](https://github.com/huggingface/deep-rl-class/blob/main/unit3/README.md)| | [Q-Learning](https://github.com/huggingface/deep-rl-class/blob/main/unit3/bonus.md)                         |                                                    |
+| [Published 🥳](https://github.com/huggingface/deep-rl-class/blob/main/unit3/bonus.md)| [Bonus: Automatic Hyperparameter Tuning using Optuna](https://github.com/huggingface/deep-rl-class/blob/main/unit3/bonus.md)| |                         |                                                    |
 | June the 14th | Policy-based methods                                     | 🏗️                                                                                                        |
 |  June the 21th | Actor-Critic Methods                                     | 🏗️                                                                                                        |
 | June the 28th | Proximal Policy Optimization (PPO)                       | 🏗️                                                                                                        |