world-model

LMD0311/Awesome-World-Model

Collect some World Models for Autonomous Driving papers.

nicklashansen/tdmpc2

Code for "TD-MPC2: Scalable, Robust World Models for Continuous Control"

OpenDriveLab/ViDAR

[CVPR 2024 Highlight] Visual Point Cloud Forecasting

RobotLabLTH/SkiROS2

A skill-based platform for ROS v.2 with knowledge representating, planning and reasoning

nicklashansen/puppeteer

Code for "Hierarchical World Models as Visual Whole-Body Humanoid Controllers"

thuml/iVideoGPT

Official repository for "iVideoGPT: Interactive VideoGPTs are Scalable World Models" (NeurIPS 2024), https://arxiv.org/abs/2405.15223

zjunlp/WKM

[NeurIPS 2024] Agent Planning with World Knowledge Model

leofan90/Awesome-World-Models

A comprehensive list of papers for the definition of World Models and using World Models for General Video Generation, Embodied AI, and Autonomous Driving, including papers, codes, and related websites.

NACLab/robust-active-inference

Official Implementation for the paper "R-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models"

Neural-Litho/Neural-Lithography

Official implementation of Neural Lithography (SIGGRAPH Asia 2023)

eric-ai-lab/MMWorld

Official repo of the paper "MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos"

Charmve/gpt-eyes

I GAVE GPT-4 EYES!

CJReinforce/JOWA

Official code for the paper, "Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining"

zhanghm1995/awesome-world-models-for-AD

A curated list of awesome world models for autonomous driving (continually updated)

open-world-agents/desktop-env

A real-time, high-frequency, real-world desktop environment that is suitable for desktop-based ML development (agents, world models, etc.)

turingmotors/ACT-Bench

ACT-Bench – We Evaluate Action-Fidelity of World Models for Autonomous Driving

glambrechts/informed-dreamer

Official implementation of the Informed Dreamer algorithm, based on DreamerV3

misaghsoltani/DeepCubeAI

Learning Discrete World Models for Heuristic Search

BARUDA-AI/awesome-general-world-model

chowfi/JEPA_world_model

Train a JEPA world model on a set of pre-collected trajectories from a toy environment involving an agent in two rooms.