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@@ -31,7 +31,7 @@ This course is **self-paced** you can start when you want 🥳.
| [Published 🥳](https://github.com/huggingface/deep-rl-class/tree/main/unit5#unit-5-policy-gradient-with-pytorch) | [Policy Gradient with PyTorch](https://huggingface.co/blog/deep-rl-pg) | [Code a Reinforce agent from scratch using PyTorch and train it to play Pong 🎾, CartPole and Pixelcopter 🚁](https://colab.research.google.com/github/huggingface/deep-rl-class/blob/main/unit5/unit5.ipynb) |
| [Published 🥳](https://github.com/huggingface/deep-rl-class/tree/main/unit6#towards-better-explorations-methods-with-curiosity) | [Towards better explorations methods with Curiosity](https://github.com/huggingface/deep-rl-class/tree/main/unit6#towards-better-explorations-methods-with-curiosity)| |
| [Published 🥳]() | Advantage Actor Critic (A2C) | [Train a bipedal walker and a spider to learn to walk using A2C]() |
| July the 29th | Proximal Policy Optimization (PPO) | 🏗️ |
| August the 5th | Proximal Policy Optimization (PPO) | 🏗️ |
| August | Decision Transformers and offline Reinforcement Learning | 🏗️ |