NVIDIA’s GameGAN Uses AI to Recreate Pac-Man and Other Game Environments
GameGAN, a generative model that learns to visually imitate video game environments by ingesting screenplay and keyboard actions during training.
AI Technology & Industry Review
GameGAN, a generative model that learns to visually imitate video game environments by ingesting screenplay and keyboard actions during training.
Agent57 is the first deep reinforcement learning (RL) agent to top human baseline scores on all games in the Atari57 test set.
In a recent paper Tencent AI Lab researchers present a deep reinforcement learning (DRL) approach to handle the complex action control of agents in MOBA 1v1 games.
Synced Global AI Weekly November 24th
A team of researchers from Texas A&M University and Canada’s Simon Fraser University have open-sourced a toolkit called “RLCard” for applying RL research to card games.
Synced Global AI Weekly November 3rd
A team of researchers has proposed a Generative Adversarial Network based model tasked with creating playable and aesthetically appealing game levels for popular action-adventure video game series The Legend of Zelda.
At the Shanghai World Artificial Intelligence Conference (WAIC) on August 29, Microsoft’s Global Executive Vice President Harry Shum officially introduced MSRA’s Suphx (“Super Phoenix”) as “the most powerful Mahjong AI in history,”
Don’t simply “all in” if there’s a bot at your Texas hold’em poker table, because Facebook and Carnegie Mellon University’s new *Pluribus* AI system just beat five human pros at the same time — including a couple of World Series of Poker Champs.
A favourite is the collaborative card game Hanabi, which won the 2013 Spiel des Jahres and 2013 Fairplay À la Carte Award. The game has now drawn the attention of AI researchers.
DeepMind is a trailblazer in the trending computer vs humans gaming research space. Following milestone victories against human pros on the board game Go and video game StarCraft II, the Google-owned research company has now pitted their new AI system against humans in the first-person shooter multiplayer video game Quake III Arena.
Synced Global AI Weekly April 21st
Facing the incomplete information environment, the asynchronous neural virtual self-play (ANFSP) method allows AI to learn to generate optimal decisions in multiple virtual environments. The approach has performed well in Texas Hold’em and multiplayer FPS video games.
For years now, AI researchers have been leveraging game environments to train computer models to react to complicated scenarios and make decisions accordingly. In some ways, the trial-and-error process mimics how children learn about the world around them.
DeepMind bot AlphaStar has scored a convincing 10/10 victory against pro human players in a special series of StarCraft II matches. Plucky 26 year-old Polish gamer Grzegorz “MaNa” Komincz however salvaged a bit of human pride, snatching a surprise win yesterday in a live rematch at the DeepMind and Blizzard Entertainment Starcraft II Demonstration live stream event hosted in London.
A Google engineer has used AI to enable humans to throw virtual punches and kicks at the tough guys in popular fighting video game Mortal Kombat3. Instead of jabbing at a controller, the user fights via a web camera, with the AI rendering their air strikes to an onscreen clone in real time. You punch and kick, and Kano goes down.
Youichiro Miyake presented an initial concept of creating artificial awareness in game AI system.