Seeking Clear and Understandable Code Example for Proximal Policy Optimization (PPO) Application using TensorFlow 2

Hello r/reinforcementlearning community,

I’m relatively new to the world of reinforcement learning and I ‘m eager to dive deeper into algorithms like Proximal Policy Optimization (PPO). I’m reaching out to ask if anyone could kindly share a clear and understandable code example of PPO using TensorFlow 2.

I’m Specifically looking for code that demonstrates the key components of a PPO implementation, such as the policy network, value network, advantage estimation, and the training loop.

If you have any resources, GitHub repositories, or code snippets that you think would be helpful .

Thank you all in advance for your assistance and contributions.

submitted by /u/HassanMid
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