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Projects in Awesome Lists tagged with world-models

A curated list of projects in awesome lists tagged with world-models .

https://github.com/danijar/dreamerv3

Mastering Diverse Domains through World Models

artificial-intelligence general jax minecraft reinforcement-learning world-models

Last synced: 14 May 2025

https://github.com/eloialonso/diamond

DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.

artificial-intelligence atari deep-learning diffusion-models machine-learning reinforcement-learning research world-models

Last synced: 26 Feb 2025

https://github.com/nvidia-cosmos/cosmos-predict2.5

Cosmos-Predict2.5, the latest version of the Cosmos World Foundation Models (WFMs) family, specialized for simulating and predicting the future state of the world in the form of video.

foundational-models video-generation world-models

Last synced: 24 Feb 2026

https://github.com/eloialonso/iris

Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.

artificial-intelligence atari deep-learning machine-learning reinforcement-learning research transformers world-models

Last synced: 27 Apr 2025

https://github.com/opendrivelab/driveagi

[CVPR 2024 Highlight] GenAD: Generalized Predictive Model for Autonomous Driving & Foundation Models in Autonomous System

autonomous-driving embodied-ai foundation-model general-artificial-intelligence large-dataset policy-learning video-dataset video-generation world-models

Last synced: 15 May 2025

https://github.com/danijar/dreamer

Dream to Control: Learning Behaviors by Latent Imagination

artificial-intelligence deep-learning reinforcement-learning robotics world-models

Last synced: 05 Apr 2025

https://github.com/danijar/daydreamer

DayDreamer: World Models for Physical Robot Learning

reinforcement-learning robotics world-models

Last synced: 09 Apr 2025

https://github.com/zhanghm1995/Forge_VFM4AD

A comprehensive survey of forging vision foundation models for autonomous driving, including challenges, methodologies, and opportunities.

3dgs adaptation autonomous-driving diffusion end-to-end-autonomous-driving foundation-model large-language-models nerf pre-training survey world-models

Last synced: 24 Jul 2025

https://github.com/lucidrains/genie2-pytorch

Implementation of a framework for Genie2 in Pytorch

artificial-intelligence attention deep-learning transformers world-models

Last synced: 12 Apr 2025

https://github.com/YvanYin/DrivingWorld

Code for "DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT"

autonomous-driving driving-world-model generative-model gpt video-generation video-gpt world-models

Last synced: 12 Oct 2025

https://github.com/Kevin-thu/Epona

Official Code for Epona: Autoregressive Diffusion World Model for Autonomous Driving (ICCV 2025)

autonomous-driving diffusion-models video-generation world-models

Last synced: 28 Jan 2026

https://github.com/opendrivelab/nexus

Nexus: Decoupled Diffusion Sparks Adaptive Scene Generation

diffusion-models scene-generation world-models

Last synced: 10 Jun 2025

https://github.com/minnie-lin/Awesome-Physics-Cognition-based-Video-Generation

A comprehensive list of papers investigating physical cognition in video generation, including papers, codes, and related websites.

3d 4d embodied-ai physics survey t2v v2v video-generation world-models world-simulator

Last synced: 16 Apr 2025

https://github.com/thuml/harmonydream

Code release for "HarmonyDream: Task Harmonization Inside World Models" (ICML 2024), https://arxiv.org/abs/2310.00344

model-based-reinforcement-learning world-models

Last synced: 25 Jul 2025

https://github.com/nvidia/flashdreams

high-performance inference and serving library for interactive autoregressive video and world models

efficiency interactive video-models world-models

Last synced: 03 Jun 2026

https://github.com/princeton-nlp/lwm

We develop world models that can be adapted with natural language. Intergrating these models into artificial agents allows humans to effectively control these agents through verbal communication.

language nlp world-models

Last synced: 16 Mar 2026

https://github.com/lukehollis/agentics-3d

Create multi-agent simulations in game engines for realistic human behaviors and synthetic training data

civilization machine-learning npc reinforcement-learning unity world-models

Last synced: 22 Apr 2025

https://github.com/arnaudvl/world-models-ppo

PyTorch World Model implementation with PPO.

mdrnn pytorch reinforcement-learning vae world-models

Last synced: 14 Apr 2025

https://github.com/voidful/mmlm

Toward Multi Modality Language Model - implementation of GPT-4o/Project Astra

gpt-4o multi-modality multi-model world-models

Last synced: 04 Sep 2025

https://github.com/codezakh/onelife

[ICLR 26] How can an agent reverse engineer the underlying laws of an unknown, hostile & stochastic environment in "one life", without millions of steps + human-provided goals / rewards? We infer a world model in Python for an unknown environment from a single episode!

agents neurosymbolic-ai probabilistic-programming world-models

Last synced: 22 Jun 2026

https://github.com/nik-55/world-models

A curated list of research and projects on world models

curated-list physical-ai spatial-intelligence world-models

Last synced: 27 Feb 2026

https://github.com/lukehollis/mindcraft-multi-wm

Multi-agent world model for continuous learning agents in Minecraft

continual-learning jepa mamba mamba-state-space-models minecraft reinforcement-learning world-models

Last synced: 23 Jun 2026

https://github.com/lukehollis/llm-urban-simulations

Unity-based character AI system using ML-Agents and world models for realistic NPC behaviors and decision-making

civilization machine-learning npc reinforcement-learning unity world-models

Last synced: 08 Oct 2025

https://github.com/nima-siboni/narrow-corridor-ai

A reinforcement learning project for crowd-dynamics in a very narrow corridor

dynamic-programming multi-agent-reinforcement-learning policy-evaluation policy-iteration world-models

Last synced: 08 Oct 2025

https://github.com/mandarwagh9/dvd-jepa

A tiny, fully-reproducible JEPA world model that learns the physics of a bouncing DVD logo in representation space, dreams its future, and detects anomalies. Trains on a CPU in ~10s. Interactive browser demo.

anomaly-detection deep-learning i-jepa interactive-demo jepa machine-learning pytorch representation-learning reproducible-research self-supervised-learning v-jepa video-prediction world-models

Last synced: 17 Jun 2026

https://github.com/machinefi/trio-retina

Model-agnostic state layer for world models — turn any detector (YOLO · VLM · DINO) into one standard, queryable stream of events + latent state. numpy-only, runs on CPU at the edge.

computer-vision edge-ai event-stream object-detection object-tracking perception python rtsp video-analytics vlm world-models yolo

Last synced: 06 Jul 2026

https://github.com/mandarwagh9/egomem

A model-agnostic memory layer for robotics from egocentric human video

egocentric-video embodied-ai lerobot memory robotics vla world-models

Last synced: 17 Jun 2026

https://github.com/santoshkumarradha/uwm-jepa

UWM-JEPA: a JEPA world model with a density-matrix latent and learned unitary predictor for imagining hidden continuations under partial observability.

density-matrix jepa partial-observability representation-learning reproducibility self-supervised-learning unitary-evolution world-models

Last synced: 04 Jun 2026

https://github.com/eljandoubi/driving-world-model

A world model for autonomous driving that predicts next-frame observations conditioned on actions, built on a UNet2D diffusion backbone with learned action embeddings.

diffusion-models pytorch unet-models world-models

Last synced: 10 Jul 2026

https://github.com/jorahn/jorahn

Profile for Jonathan Rahn — AI Lab Lead at Drees & Sommer. Chess-reasoning LMs (policy + world model), RL with verifiable rewards.

chess-ai cot policy rlvr self-play transformers trl world-models

Last synced: 19 Sep 2025

https://github.com/brunoocs/world-model-2018

Modern PyTorch implementation of World Models with interactive notebooks for the Car Racing environment. Features VAE vision model, MDN-RNN memory system, and CMA-ES controller with visualization tools. Complete end-to-end reinforcement learning pipeline with clean, well-documented code.

cma-es mdn pytorch rnn world-models

Last synced: 04 May 2026

https://github.com/walidght/deep-hierarchical-planning

PyTorch reimplementation of "Deep Hierarchical Planning" RL framework. Features a multi-model architecture with manager-worker policies, world model, and goal autoencoder. Built with Python/PyTorch and includes experiment logging with Weights & Biases.

deeplearning goal-autoencoder hierarchical-rl machine-learning manager-worker neurips-2022 python pytorch reinforcement-learning research-paper rl-framework world-models

Last synced: 06 May 2026