AI LEARNS TENNIS

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A Neural Network trained via reinforcement learning learns how to play Tennis. We explore different ways of nudging the A.I using Ml-Agents. The Algorithm used to train this A.I. is called PPO (developed by OpenAI). My name is Sebastian Schuchmann from Germany and I hope you enjoyed this video.
If you want to support me! :)
Patreon: www.patreon.com/user?u=25285137
Twitter: / sebastianschuc7
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www.sebastian-schuchmann.com/...
The environment shown in this video is part of the ML-Agents examples made by Unity3D. unity3d.com/de/machine-learning

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Опубликовано:

26 июл 2024

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Комментарии : 18

@PeterBarnes2 4 года назад

I think it'd be cool to train on tennis with a more competitive scoring system: Lose points for missing the ball, gain points for scoring. With this, limiting the acceleration of the racket would promote more advanced playstyles. The position and speed of the opponent's racket would enable even more advanced playstyles. I'd love to see if they'd bounce the ball tactically.

@yogpanjarale 2 года назад

Seems like this video should have more vides its a very underrated channel

@marcosacuna5816 4 года назад

You are an underrated youtuber

@SuperDonalByrne 4 года назад

Great video Sebastian, I like how you clearly define the reward function and state space, makes it very clear what is going on.

@adamkellymusic 4 года назад

Awesome video! You did a great job explaining it.

@seanloughran6714 3 года назад

Late to the MLA Party, but have you tried advancing this a bit? Giving the computer the ability to rotate the racket so they don't always hit it at 45 degrees? Allowing for high and low shots? Then you can open up another axis of rotation to allow them to place the ball left and right. I think those steps would train a really competitive tennis AI.

@copydraw5324 4 года назад

Interesting discoveries packed in an entertaining video - love it!

@jasondelong83 4 года назад

Have scalable models for your racket - when the AI gets good enough to reach equilibrium with self-play consistently, automatically decrease the size of the tennis tennis racquet. This is the same idea as when a GAN first trains on low resolution images and increases resolution over the epochs.

@SebastianSchuchmannAI 4 года назад

Oh, interesting. Thanks for the sharing knowlede

@TrabelsyMedia 4 года назад

Could you please make a tutorial of how you created such a project?

@Blobadoodle 4 года назад

How does this guy only have 351 subs?

@user-kq6gb6ej3d 3 года назад

Interesting, I like it.

@ONDANOTA 4 года назад

next MMA or boxing or muay thai

@outercloud 3 года назад

A Capture the flag ai vs. battle

@revimfadli4666 3 года назад

Have you tried adding an extra ball? I have, and the agents made the ball collide like bullets in a movie lol. Unfortunately, I hadn't modified double hit rules to exclude balls that bounced off each other, so the agents simply avoided the balls, fearing double hit losses, and left their victory at the hands of RNG. Once I didt that, now the agent gets overwhelmed by 2 distant balls at once... What about adding players? Have you tried that as well?