Pac-Man recreated with a GAN trained on 50k game episodes
71–80 of 154 posts
Re: Pac-Man recreated with a GAN trained on 50k game episodes
#72> Trained on 50,000 episodes of the game Meanwhile an actual human will probably need only about 5 games to fully understand how the game works and reacts.
Fundamentally, this is because we have already been trained on years of living in and reacting to the real world, which, to some abstract degree, the game mimicks. The Nvidia model starts with nothing.
Re: Pac-Man recreated with a GAN trained on 50k game episodes
#73The most successful examples I've heard are computer generated classical music, but generating abstract art like classical music is simpler than generating art that relies on coherent language and narrative, like opera, or the blues, or a good novel.
Re: Pac-Man recreated with a GAN trained on 50k game episodes
#74Please help me understand the point. Is it to show that nVidia chips can be used to create game AI using GANs? Or is it to aid in game design? Wouldn't a human be in a better position to do both?
Re: Pac-Man recreated with a GAN trained on 50k game episodes
#75So AI can learn to play the games, but can it learn to create them? That is, can it create compelling cultural novelty? The most successful examples I've heard are computer generated classical music, but generating abstract art like classical music is simpler than generating art that relies on coherent language and narrative, like opera, or the blues, or a good novel.
Edit: oh, Togelius also seemed to have researched it.
https://www.google.com/amp/s/www.technologyreview.com/2017/1...
Re: Pac-Man recreated with a GAN trained on 50k game episodes
#76I've observed an increasing trend with modern AI research that A) It's no longer practical to incorporate into real products given the hardware costs for training and inference. In NLP, large transformer based models can easily occupy a 5 thousand dollar GPU at a paltry 50-60 words per second processing pace. B) The Research often demonstrates things that existing non-ML toolchains were already reasonable at doing wi…
B) This specific example actually shows ML toolchains are orders of magnitude better, than existing ones. Imagine you wanted to make a football game from scratch, and this technique would let you do that by just feeding a lot of football game recordings to a program, as opposed to hiring software devs and graphics designers, and iterating for a year.
Re: Pac-Man recreated with a GAN trained on 50k game episodes
#77I've observed an increasing trend with modern AI research that A) It's no longer practical to incorporate into real products given the hardware costs for training and inference. In NLP, large transformer based models can easily occupy a 5 thousand dollar GPU at a paltry 50-60 words per second processing pace. B) The Research often demonstrates things that existing non-ML toolchains were already reasonable at doing wi…
Re: Pac-Man recreated with a GAN trained on 50k game episodes
#78https://cdn.arstechnica.net/wp-content/uploads/2020/05/Nvidi...
Re: Pac-Man recreated with a GAN trained on 50k game episodes
#79Earlier quoted context omitted.
Something similar to what you describe is already being done. Game video is streamed to a Raspberry Pi Zero that sits between the real mouse and the Gaming PC and adjusts the mouse movements. Google for "Valorant RPi0" for videos to see this in action. Here is an excerpt from a now deleted Reddit comment where the setup is described: > "My pi is connected to my pc as a HID device with all the descriptors matching a l…
There are cheats that work solely off of game recordings?
Re: Pac-Man recreated with a GAN trained on 50k game episodes
#80I've observed an increasing trend with modern AI research that A) It's no longer practical to incorporate into real products given the hardware costs for training and inference. In NLP, large transformer based models can easily occupy a 5 thousand dollar GPU at a paltry 50-60 words per second processing pace. B) The Research often demonstrates things that existing non-ML toolchains were already reasonable at doing wi…
Or, to paraphrase: great paper, no application.