Deep Reinforcement Learning for Ping Pong

Deep Reinforcement Learning for Ping Pong

In this post you will implement an AI program that can learn from any environment by giving rewards or punishment according to its actions respectively

⭐️In this post, you will implement an AI program(or agent if you want to be more fancy! 😆) that can learn from any environment(which would be games in our case) by giving it rewards or punishment according to its actions respectively. If you are beginner to reinforcement learning this post is perfect for you as it tries to cover the essence of Reinforcement Learning. The code and a challenge link has been attached below So Follow along till the end..! For our case we use a game which is(you guessed it!) Ping Pong, as our environment, provided by OpenAI’s library, for our AI. The AI gets control of one of the sliders only (green slider in our case). All the programs are done in Python.

python reinforcement-learning machine-learning deep-learning

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