Updating README.md

Author: mohammadzainabbas

README.md

@@ -183,27 +183,9 @@ We will use the brax’s optimized algorithms: `PPO`, `ES`, `ARS` and `SAC`.
 
 #
 
-<a id="quickstart" />
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-### 6. 🚀 Quickstart 💻
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-You can see the live demo [here](http://mohammadzainabbas.tech/Reinforcement-Learning-CS/).
-
-Explore the project easily and quickly through the following _colab_ notebooks:
-
-- [`Grasp: Pick-and-place with a robotic hand`](https://colab.research.google.com/github/mohammadzainabbas/Reinforcement-Learning-CS/blob/main/notebooks/demo.ipynb) - this demo notebook compares first three [algorithms](#algorithms) and train agents on `Grasp` environment by `Brax`. At the end, it also shows trained `PPO agent` interaction with the environment.
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-<p align="center">
-  <img src="https://github.com/mohammadzainabbas/Reinforcement-Learning-CS/blob/dev/docs/assets/compare_algorithms.jpeg?raw=true" width="auto" height="225">
-</p>
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-- [`Step-by-step training with PPO`](https://colab.research.google.com/github/mohammadzainabbas/Reinforcement-Learning-CS/blob/main/notebooks/demo_ppo_train.ipynb) - this notebook shows step-by-step training of `PPO agent` on `Grasp` environment by `Brax`.
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-#
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-<a id="getting-started" />
+<a id="run-locally" />
 
-### 6. 🚀 Getting started 🖲️
+### 6. 🚀 Run locally 🖲️
 
 These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.