Archives for Atari
The repetitive process of trial and error has proven effective in teaching computer systems to play many games.
The post DeepMind Trains AI Agents To Play Games Without Human Interaction Data appeared first on Analytics India Magazine.
The repetitive process of trial and error has proven effective in teaching computer systems to play many games.
The post DeepMind Trains AI Agents To Play Games Without Human Interaction Data appeared first on Analytics India Magazine.
In alliance with Deep Mind and the University of Toronto, Google has released DreamerV2, the very first Reinforcement Learning agent that achieves human-level Atari performance. The paper was released under this name: Mastering Atari with Discrete World Models by Danijar Hafner, Timothy Lillicrap, Mohammad Norouzi, Jimmy Ba. Reinforcement Learning methods have made quite a progress…
The post Mastering Atari with Discrete World Models: DreamerV2 appeared first on Analytics India Magazine.
Two years after DeepMind introduced AlphaZero, an AI-based program that could challenge humans at the game of chess, the researchers have demonstrated MuZero. The researchers at DeepMind describe it to be a significant step towards formulating general-purpose algorithms. While its predecessor, AlphaZero could learn games such as Go, chess, and shogi from scratch, MuZero can…
The post This New AI Algorithm Can Master Games Without Being Told The Rules appeared first on Analytics India Magazine.