diff --git a/README.md b/README.md
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@@ -23,8 +23,8 @@ This course is **self-paced** you can start when you want 🥳.
 | 📆 Publishing date  | 📘 Unit           | 👩‍💻 Hands-on |
 |---------------|----------------------------------------------------------|----------------------------------------------------------------------------------------------------------|
 | [Published 🥳](https://github.com/huggingface/deep-rl-class/tree/main/unit1#unit-1-introduction-to-deep-reinforcement-learning)  | [An Introduction to Deep Reinforcement Learning](https://github.com/huggingface/deep-rl-class/tree/main/unit1)           | [Train a Deep Reinforcement Learning lander agent to land correctly on the Moon 🌕 using Stable-Baselines3](https://github.com/huggingface/deep-rl-class/blob/main/unit1/unit1.ipynb) |
-| May, the 11th | [Bonus](https://discord.com/channels/879548962464493619/968114737655214080/973937495546925056)                                                    |                                                               |
-| May, the 18th/May, the 20th | [Q-Learning](https://github.com/huggingface/deep-rl-class/blob/main/unit2/README.md)                                               | Train an agent to cross a Frozen lake in this new version of the environment.                                                                                                        |
+| [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).                                                                                                        |
 | June, the 1st | Deep Q-Learning and improvements                         | Train a Deep Q-Learning agent to play Space Invaders                                                     |
 |               | Policy-based methods                                     | 🏗️                                                                                                        |
 |               | Actor-Critic Methods                                     | 🏗️                                                                                                        |