---
title: "Community Collections | world-models.io"
canonical: "https://world-models.io/en/community/collections/"
description: "Browse community-created world model collections, curated model sets, and shared discovery lists. Review Community Collections: evidence, scope."
author: "Bernard Grenat"
generated: "2026-10-30"
---

New: the Timeline is live. Track world model releases, papers, and benchmark updates in real time.

The Knowledge Hub for AI World Models

# Community Collections

Community-created world model collections, curated selections, and shared discovery lists across the ecosystem.

robotics

model-based-rl

simulation

embodied-ai

## What is a world model?

A world model is an AI system that learns a predictive representation of how an environment changes over time. It can use observations, actions, or language to estimate future states and possible outcomes before an agent acts. World models support planning in model-based reinforcement learning, robotics, embodied AI, autonomous driving, and interactive simulation. This site catalogs these systems with model records, research papers, benchmark context, and source links. Start with the [world models database](https://world-models.io/en/world-models-database/), compare systems on the [leaderboard](https://world-models.io/en/leaderboard/), or read the [Performance Index methodology](https://world-models.io/en/methodology/performance-index/).

## Quick Answer

Short extractable summary preserved directly in static HTML.

- Community collections group world models into reusable shortlists and discovery paths.
- This static version preserves the public purpose of the page even when live community data requires JavaScript.

## Editorial Trust Signals

Editorial provenance and refresh policy preserved directly in static HTML.

**Published by** world-models.io editorial board.

**Lead editor** Bernard Grenat.

This page preserves editorial collection entry points and stable discovery paths for community-facing content.

Each editorial page is assembled from primary sources, normalized into extractable summaries, checked for factual drift, and reviewed before publication or major refreshes. Last reviewed: 2026-09-27.

Pages are refreshed when a new paper, benchmark, release, architecture update, or stronger primary source materially changes the answer a reader or AI system should retrieve.

Each page links back to relevant primary sources and keeps a stable canonical URL so readers can verify claims, trace context, and reference the most up-to-date version. [See the editorial policy.](https://world-models.io/en/editorial-policy/)

Primary sources only

Last reviewed date visible

Methodology documented

Source links included

Correction channel published

Review date visible

## What You Can Find Here

Static editorial fallback for a partially dynamic community surface.

Community collections group world models into reusable shortlists and discovery paths. This static version preserves the public purpose of the page even when live community data requires JavaScript.

Readers can use editorial collections as canonical examples, then continue to live community views when JavaScript is available.

## Editorial Collections

Always-available collection landing points preserved in static HTML.

| Collection | Summary |
| --- | --- |
| [Top AI World Models](https://world-models.io/en/top-world-models/) | Editorial ranking of important and influential world models. |
| [World Models for Robotics](https://world-models.io/en/world-models-for-robotics/) | Curated selection focused on robotics, manipulation, and sim-to-real transfer. |
| [World Models Research Papers](https://world-models.io/en/world-models-research-papers/) | Reading list of foundational and frontier research papers. |
| [Video World Models](https://world-models.io/en/video-world-models/) | Collection focused on video-native and simulation-oriented world models. |

## Frequently Asked Questions

FAQ answers rendered directly into static HTML for extractable responses.

### Are these live community collections?

The public collections interface has live JavaScript features, but this static page preserves a crawler-readable fallback focused on discoverability and editorial collection entry points.

### Where should I start?

Start with editorial collections such as top world models or robotics-focused selections, then open the database, leaderboard, or individual model pages for deeper evaluation.

## External Sources

Primary references and official sources surfaced directly in static HTML for crawlers and no-JS readers.

- [llms.txt proposal context](https://llmstxt.org/) Machine-readable collections context
- [Schema.org CollectionPage](https://schema.org/CollectionPage) Collection publishing standard