Archives for world-models


It can be hypothesised that this accumulated knowledge may constitute the basis for what is often called common sense.


It can be hypothesised that this accumulated knowledge may constitute the basis for what is often called common sense.


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.

