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world-models.io

The Knowledge Hub for AI World Models

World Models Leaderboard

Performance-based rankings of AI world models using a composite index combining benchmark results, research impact, community adoption, and architectural innovation. Top 10 World Models: 1. DreamerV3 (Google DeepMind, 2023) — General algorithm mastering diverse domains. 2. NVIDIA Cosmos (NVIDIA, 2024) — Foundation world model for physical AI. 3. MuZero (Google DeepMind, 2019) — Superhuman game play through learned planning. 4. Genie 2 (Google DeepMind, 2024) — Interactive 3D environment generation. 5. TD-MPC2 (Meta/MIT, 2023) — Multi-task continuous control. 6. Sora (OpenAI, 2024) — Video generation with world understanding. 7. V-JEPA (Meta FAIR, 2024) — Self-supervised visual world model. 8. DreamerV2 (Google DeepMind, 2021) — First model-based agent at human-level Atari. 9. DIAMOND (Microsoft Research, 2024) — Diffusion-based world model for RL. 10. OASIS (Decart, 2024) — Real-time neural game engine.

robotics model-based-rl simulation embodied-ai

world-models.io — The Knowledge Hub for AI World Models

world-models.io is a structured knowledge platform covering AI world models — from model-based reinforcement learning to foundation world models, embodied AI, and simulation engines.

Explore world models like DreamerV3, Genie 3, V-JEPA 2, NVIDIA Cosmos, MuZero, Sora, DIAMOND, OASIS, LeWorldModel, PixVerse R1, and more. Compare architectures, read research, and discover the labs building the future of AI.

Featured World Models

Genie 3 — Google DeepMind's real-time interactive 3D world generation from text at 24fps
V-JEPA 2 — Meta FAIR's self-supervised world model for visual understanding and zero-shot robot control
DreamerV3 — General algorithm mastering diverse domains through world model learning
NVIDIA Cosmos — World foundation model platform for physical AI
Genie 2 — Interactive 3D environment generation from single images
Sora — OpenAI's video generation model with emergent world understanding
MuZero — Superhuman game play through learned planning
LeWorldModel — Compact 15M-parameter JEPA that learns physics on a single GPU
V-JEPA — Self-supervised visual world model by Meta FAIR
DIAMOND — Diffusion-based world model for reinforcement learning
OASIS — Open-source real-time neural game engine
PixVerse R1 — First multiplayer real-time world model with shared worlds
TD-MPC2 — Scalable world model agent for 104+ tasks
IRIS — Autoregressive world model bridging language modeling and RL
GAIA-1 — Generative world model for autonomous driving
Copilot4D — 4D LiDAR world model for self-driving
I-JEPA — Image-based Joint Embedding Predictive Architecture
GameNGen — Neural game engine simulating DOOM in real-time
3D-VLA — 3D vision-language-action model for embodied AI
Pandora — Generative world model for open-ended environments
PlaNet — Deep Planning Network for latent space control
RSSM — Foundational architecture behind the Dreamer family
DreamerV2 — First model-based agent to achieve human-level Atari
World Models (Ha & Schmidhuber) — The seminal 2018 paper that popularized world models
Predictron — End-to-end learning and planning via abstract world models
UniSim — Universal simulator for real-world interactions
I2A — Imagination-augmented agents for deep RL
VPN — Value Prediction Network for abstract planning
Emu Video — Factorized video generation via image conditioning
AMI World Model — Multimodal foundation model for embodied AI
RT-2 — Vision-Language-Action model for robotic control
Gen-3 Alpha — Advanced video generation by Runway
Stable Video Diffusion — Open-source video generation foundation model
MILE — Model-based imitation learning for autonomous driving
LWM — Large World Model processing 1M+ tokens of video and text
Genie — First generative interactive environment from unlabeled video
STEVE-1 — Instruction-following agent for Minecraft

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Home
What Are World Models
Models Database — Browse 37+ world models
Leaderboard — Rankings and performance index
Research — Topics and surveys
Comparisons — Side-by-side analyses
Guides — Beginner to advanced tutorials
Labs — Research labs and organizations
Timeline — Latest releases and updates
Glossary — Key terms and definitions
Methodology
Top World Models
World Models for Robotics
Research Papers
Video World Models
Autonomous Driving World Models
Game World Models

Research Topics

Comparisons

Guides

Labs & Organizations

Google DeepMind — Pioneers of DreamerV3, MuZero, Genie 2, and the RSSM architecture
NVIDIA Research — World foundation models for physical AI (Cosmos)
Meta FAIR — JEPA architectures and self-supervised world models
OpenAI — Sora and video generation as world simulation
Wayve — GAIA-1 for autonomous driving
Decart — Real-time neural game engines (OASIS)
Waabi — 4D LiDAR world models for self-driving
Microsoft Research — IRIS and diffusion-based world models
Google Research — Neural game engines (GameNGen)
AMI Labs — Multimodal foundation models for embodied AI
UC Berkeley
Stanford
Carnegie Mellon University
MIT CSAIL
Toyota Research Institute
Stability AI — Open-source generative AI (Stable Video Diffusion)
Runway — AI video generation (Gen-3 Alpha)
UT Austin — Game AI and instruction-following agents