From 7c7e1f7de775d81e206161fd02d1c6d780952ddd Mon Sep 17 00:00:00 2001 From: Thomas Simonini Date: Thu, 21 Jul 2022 07:29:45 +0200 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 4c7878b..4bd185d 100644 --- a/README.md +++ b/README.md @@ -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 | 🏗️ |