MarI/O - Machine Learning for Video Games

What people said

andai · 2025-06 · Strong recommendation

Here is my favorite introduction to NEAT: SethBling's MarI/O - Machine Learning for Video Games [VIDEO]

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dberst · 2024-09 · Strong recommendation

I'm a novice at machine learning, but Open AI made a python library for reinforcement learning in video games, and a fork of it is still actively maintained [1]. It's been a few years, but I remember being able to get it up and running in a day or two (maybe a weekend). It used the Retroarch emulator, which is compatible with a huge number of emulators and consoles. [LINK] There also SethBling's excellent video on YouTube about machine learning specifically with Super Mario World: [VIDEO] I encourage you to give it a try! I feel that video games are a bit underrated by current AI buzz, I think there's lots of potential for a machine to learn a skill through playing a game. And lots of potential for a game being selected or even created with the goal of teaching a specific skill. However at that point maybe it's better to forego the audio and visuals and speak to the machine in text or with pure data. On the other hand, I have seen a video about convolutional neural networks that feed on each pixel of an image. So perhaps training with sound data, or with the pixels of a spectrogram, could have some positive results. And certainly I would be amused to see a game played in time with music, or possibly even dancing with a songs melody, harmony, and story as well. Anything that's ever been created by humans, existed first in the imagination of a human brain. And you've got one of those. A mental vision pursued and brought from the mind into physical reality is a beautiful thing,

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deepnet · 2018-04 · Strong recommendation

OP, Togelius, is quite wrong in 1 point at least. tl;dr Seth Bling directly references NEAT and his links[Show More [1]] link to 2 Togelius papers[13][14] among many others ! To wit, in OP, Togelius mentions Seth Bling's MarI/O[1] as lacking scholarship because he didn't mention Togelius: " seen as research, it is atrocious because of the complete lack of scholarship. The guy didn't even know he was reinventing the wheel, and didn't care to look it up. " Rather disdaignfully (sadly/ ironically/ poigniantly) Togelius refers to Seth not by name but only as " some guy ". Yet Seth Bling[2] in his short video, mentions and explains NEAT and directly links Ken Stanley's and Risto Miikkulainen's foundational NEAT paper[10] at U.texas which Togelius builds on [hint: click SHOW MORE under Seth's video] And much more, i.e.: ---- the innovative toolchain Seth uses: Bizhawk to script SNES emulators in Lua [12]! ---- Seth links the wikipedia page on Neuroevolution[11] which directly references 2 of Togelius's own papers[13][14] Seth's [Show More] Links on the MarI/O video[1] are very very comprehensive and (IMHO) indeed a great example of scholarship ! Togelius is a top flight scholar, and publishes in the field of AI game players and level generators[15] so I hope he will welcome some random tinkerer pointing out his error. [full disclosure: I am a Togelius fan] To give Togelius his due he does at least link to Seth's MarI/O video. Perhaps Togelius failed to click / read the Show More li

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