Guru3D.com
  • HOME
  • NEWS
    • Channels
    • Archive
  • DOWNLOADS
    • New Downloads
    • Categories
    • Archive
  • GAME REVIEWS
  • ARTICLES
    • Rig of the Month
    • Join ROTM
    • PC Buyers Guide
    • Guru3D VGA Charts
    • Editorials
    • Dated content
  • HARDWARE REVIEWS
    • Videocards
    • Processors
    • Audio
    • Motherboards
    • Memory and Flash
    • SSD Storage
    • Chassis
    • Media Players
    • Power Supply
    • Laptop and Mobile
    • Smartphone
    • Networking
    • Keyboard Mouse
    • Cooling
    • Search articles
    • Knowledgebase
    • More Categories
  • FORUMS
  • NEWSLETTER
  • CONTACT

New Reviews
Fractal Design Pop Air RGB Black TG review
Palit GeForce GTX 1630 4GB Dual review
FSP Dagger Pro (850W PSU) review
Razer Leviathan V2 gaming soundbar review
Guru3D NVMe Thermal Test - the heatsink vs. performance
EnGenius ECW220S 2x2 Cloud Access Point review
Alphacool Eisbaer Aurora HPE 360 LCS cooler review
Noctua NH-D12L CPU Cooler Review
Silicon Power XPOWER XS70 1TB NVMe SSD Review
Hyte Y60 chassis review

New Downloads
AMD Radeon Software Adrenalin 22.6.1 WHQL driver download
GeForce 516.59 WHQL driver download
Media Player Classic - Home Cinema v1.9.22 Download
AMD Chipset Drivers Download v4.06.10.651
CrystalDiskInfo 8.17 Download
AMD Radeon Software Adrenalin 22.6.1 Windows 7 driver download
ReShade download v5.2.2
HWiNFO Download v7.26
7-Zip v22.00 Download
GeForce 516.40 WHQL driver download


New Forum Topics
Review: Fractal Design Pop Air RGB Black TG Info Zone - gEngines, Ray Tracing, DLSS, DLAA, TSR, FSR, XeSS, DLDSR etc. 3060ti vs 6700xt a year later Unable to install windows from linux AMD to have Tensor Core equivalent on RDNA3 NVIDIA seems to halt producing the 12 GB RTX 3080 AMD Radeon Software Adrenalin 22.5.1 WHQL driver download and discussion Samsung Starts Chip Production with 3nm Process Technology and GAA Architecture NVIDIA GeForce 516.59 WHQL driver download & Discussion Synology DiskStation DS1522+ for versatile data management




Guru3D.com » News » PAC-MAN Recreated with AI by NVIDIA Researchers

PAC-MAN Recreated with AI by NVIDIA Researchers

by Hilbert Hagedoorn on: 05/25/2020 08:50 AM | source: | 14 comment(s)
PAC-MAN Recreated with AI by NVIDIA Researchers

PAC-MAN is back, and that would be after uit's initial released 40 years ago! the retro classic has been reborn, delivered courtesy of AI. Trained on 50,000 episodes of the game, a new AI model created by NVIDIA Research, called NVIDIA GameGAN, can generate a fully functional version of PAC-MAN.

That's without an underlying game engine. That means that even without understanding a game’s fundamental rules, AI can recreate the game with convincing results. 

GameGAN is the first neural network model that mimics a computer game engine by harnessing generative adversarial networks, or GANs. Made up of two competing neural networks, a generator and a discriminator, GAN-based models learn to create new content that’s convincing enough to pass for the original.

 

 

“This is the first research to emulate a game engine using GAN-based neural networks,” said Seung-Wook Kim, an NVIDIA researcher and lead author on the project. “We wanted to see whether the AI could learn the rules of an environment just by looking at the screenplay of an agent moving through the game. And it did.”

As an artificial agent plays the GAN-generated game, GameGAN responds to the agent’s actions, generating new frames of the game environment in real time. GameGAN can even generate game layouts it’s never seen before, if trained on screenplays from games with multiple levels or versions.

This capability could be used by game developers to automatically generate layouts for new game levels, as well as by AI researchers to more easily develop simulator systems for training autonomous machines.

“We were blown away when we saw the results, in disbelief that AI could recreate the iconic PAC-MAN experience without a game engine,” said Koichiro Tsutsumi from BANDAI NAMCO Research Inc., the research development company of the game’s publisher BANDAI NAMCO Entertainment Inc., which provided the PAC-MAN data to train GameGAN. “This research presents exciting possibilities to help game developers accelerate the creative process of developing new level layouts, characters and even games.”

Nvidia will be making our AI tribute to the game available later this year on AI Playground, where anyone can experience our research demos firsthand.

In 1981 alone, Americans inserted billions of quarters to play 75,000 hours of coin-operated games like PAC-MAN. Over the decades since, the hit game has seen versions for PCs, gaming consoles and cell phones.

The GameGAN edition relies on neural networks, instead of a traditional game engine, to generate PAC-MAN’s environment. The AI keeps track of the virtual world, remembering what’s already been generated to maintain visual consistency from frame to frame.

No matter the game, the GAN can learn its rules simply by ingesting screen recordings and agent keystrokes from past gameplay. Game developers could use such a tool to automatically design new level layouts for existing games, using screenplay from the original levels as training data.

With data from BANDAI NAMCO Research, Kim and his collaborators at the NVIDIA AI Research Lab in Toronto used NVIDIA DGX systems to train the neural networks on the PAC-MAN episodes (a few million frames, in total) paired with data on the keystrokes of an AI agent playing the game.

The trained GameGAN model then generates static elements of the environment, like a consistent maze shape, dots and Power Pellets — plus moving elements like the enemy ghosts and PAC-MAN itself.

It learns key rules of the game, both simple and complex. Just like in the original game, PAC-MAN can’t walk through the maze walls. He eats up dots as he moves around, and when he consumes a Power Pellet, the ghosts turn blue and flee. When PAC-MAN exits the maze from one side, he’s teleported to the opposite end. If he runs into a ghost, the screen flashes and the game ends.

Since the model can disentangle the background from the moving characters, it’s possible to recast the game to take place in an outdoor hedge maze, or swap out PAC-MAN for your favorite emoji. Developers could use this capability to experiment with new character ideas or game themes.

Autonomous robots are typically trained in a simulator, where the AI can learn the rules of an environment before interacting with objects in the real world. Creating a simulator is a time-consuming process for developers, who must code rules about how objects interact with one another and how light works within the environment.

Simulators are used to develop autonomous machines of all kinds, such as warehouse robots learning how to grasp and move objects around, or delivery robots that must navigate sidewalks to transport food or medicine.

GameGAN introduces the possibility that the work of writing a simulator for tasks like these could one day be replaced by simply training a neural network.

“We could eventually have an AI that can learn to mimic the rules of driving, the laws of physics, just by watching videos and seeing agents take actions in an environment,” said Sanja Fidler, director of NVIDIA’s Toronto research lab. “GameGAN is the first step toward that.”

Well NVIDIA, give it some RTX while you're at it as well eh?



PAC-MAN Recreated with AI by NVIDIA Researchers PAC-MAN Recreated with AI by NVIDIA Researchers PAC-MAN Recreated with AI by NVIDIA Researchers




« Steam Weekly Top Sellers May 25th 2020 · PAC-MAN Recreated with AI by NVIDIA Researchers · MSI Offers "Sound Tune" AI-Powered Noise Cancellation Software »

3 pages 1 2 3


itpro
Senior Member



Posts: 1361
Joined: 2020-02-20

#5792160 Posted on: 05/25/2020 10:38 AM
I cannot stand this. If this gets smarter harder, I am gonna experience a heart attack. Even rtx ain't gonna have soothing effect on me. :confused:

Venix
Senior Member



Posts: 2464
Joined: 2016-08-01

#5792168 Posted on: 05/25/2020 11:03 AM
But... Can it recreate crisys ? :P will this become the new meme in the future when they test ai ?

Fox2232
Senior Member



Posts: 11809
Joined: 2012-07-20

#5792169 Posted on: 05/25/2020 11:14 AM
Maybe one day, it will be able to refactor bad code into optimized one.
And maybe one day, it will be able to take some request, like this pacman, and write code for it.

And then, we'll have 2nd generation of AI... AI based on code written by 1st generation AI (which humans made).
Once we get to 3rd gen AI, it will be over.

Stormyandcold
Senior Member



Posts: 5780
Joined: 2003-09-15

#5792179 Posted on: 05/25/2020 12:01 PM
So, with enough footage and enough processing power, then, technically you could feed the AI footage of the latest yet to be released game and have the AI recreate it and spit out a playable version...

DocStr4ngelove
Senior Member



Posts: 1104
Joined: 2020-01-16

#5792200 Posted on: 05/25/2020 01:27 PM
So, with enough footage and enough processing power, then, technically you could feed the AI footage of the latest yet to be released game and have the AI recreate it and spit out a playable version...


RDR1 for PC confirmed!!!

3 pages 1 2 3


Post New Comment
Click here to post a comment for this news story on the message forum.


Guru3D.com © 2022