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β€ŽREADME.mdβ€Ž

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## πŸ’‘ Reinforcement Learning: Grasp - Pick-and-place with a robotic hand πŸ‘¨πŸ»β€πŸ’»
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## πŸ’‘ Grasp - Pick-and-place with a robotic hand πŸ‘¨πŸ»β€πŸ’»
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You can see the live demo [here](http://mohammadzainabbas.tech/Reinforcement-Learning-CS/).
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### Table of contents
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- [πŸš€ Quickstart πŸ’»](#quickstart)
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- [πŸ‘¨πŸ»β€πŸ’» Introduction πŸ’»](#introduction)
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- [πŸ’» Introduction πŸ‘¨πŸ»β€πŸ’»](#introduction)
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- [🌊 Physics Simulation Engines 🦿](#physics-simulation-engines)
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- [πŸŒͺ Environment 🦾](#environment)
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* [πŸ”­ `Observations` πŸ”](#observations)
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### 2. πŸ‘¨πŸ»β€πŸ’» Introduction πŸ’»
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### 2. πŸ’» Introduction πŸ‘¨πŸ»β€πŸ’»
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The field of robotics has seen incredible advancements in recent years, with the development of increasingly sophisticated machines capable of performing a wide range of tasks. One area of particular interest is the ability for robots to manipulate objects in their environment, known as grasping. In this project, we have chosen to focus on a specific grasping task - training a robotic hand to pick up a moving ball object and place it in a specific target location using the [`Brax` physics simulation engine](https://arxiv.org/pdf/2106.13281.pdf).
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