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Latent Space

A compressed, abstract representation of data learned by a neural network. In world models, the latent space encodes environment states in a compact form that captures essential dynamics.

robotics model-based-rl simulation embodied-ai

What Is Latent Space?

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A compressed, abstract representation of data learned by a neural network. In world models, the latent space encodes environment states in a compact form that captures essential dynamics while discarding irrelevant details. Models like DreamerV3 and PlaNet operate entirely in latent space for efficient planning.

Latent Space is a glossary concept in the architecture layer of the world models knowledge base.

Term Snapshot

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AttributeValue
TermLatent Space
CategoryArchitecture
DefinitionA compressed, abstract representation of data learned by a neural network. In world models, the latent space encodes environment states in a compact form that captures essential dynamics while discarding irrelevant details. Models like DreamerV3 and PlaNet operate entirely in latent space for efficient planning.
Related Models4
Related Research1

Related Models

ModelLabCategory
DreamerV3Google DeepMindModel-Based RL
PlaNetGoogleModel-Based RL
RSSMGoogleLatent Dynamics
DreamerV2GoogleModel-Based RL

Related Research

TopicSummary
Model-Based Reinforcement LearningWhat model-based reinforcement learning is, how world models enable imagination-based planning, and why Dreamer, MuZero, PlaNet, and TD-MPC2 matter.

Related Terms

TermCategoryDefinition
RSSM (Recurrent State-Space Model)ArchitectureA neural network architecture that combines deterministic recurrent states with stochastic latent variables to model environment dynamics. The RSSM forms the backbone of the Dreamer family of world models, enabling both accurate state tracking and exploration through uncertainty modeling.
Latent DynamicsArchitectureThe learned transition function within a latent space that predicts how hidden states evolve over time in response to actions. Latent dynamics models avoid computationally expensive pixel-level predictions by operating in compressed representation space.

Quick Answer

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  • Latent Space is a glossary concept used across world-models.io to clarify language, methods, and architectural ideas in the field.
  • Use this page to get the definition quickly, then continue into related models, research topics, and adjacent terms for context.

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Published by world-models.io editorial board.

Lead editor Bernard Grenat.

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