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Project-2_Continuous-Control/Report.md

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While working on this project, I had to invest too much time in research to find the right algorithms for such a problem. There were many options available to me, and this was a challenge for me, and from here my journey began.
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There is really a very useful repo that describes and implements different algorithms that work very well for such a problem with continuous action space. Thanks to this repo and other sources, I was able to understand some algorithms correctly, including the DDPG, D4PG, PPO, A2C, and A3C algorithms, and I was able to implement some of these algorithms to solve my problem.
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There is really a very useful [repo](https://github.com/ShangtongZhang/DeepRL) that describes and implements different algorithms that work very well for such a problem with continuous action space. Thanks to this repo and other sources, I was able to understand some algorithms correctly, including the DDPG, D4PG, PPO, A2C, and A3C algorithms, and I was able to implement some of these algorithms to solve my problem.
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In this report I will explain everything about this project in details. So we will look at different aspects like:
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- **Actor-Critic**

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