[NeurIPS 2024] A Generalizable World Model for Autonomous Driving
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Updated
Dec 12, 2024 - Python
[NeurIPS 2024] A Generalizable World Model for Autonomous Driving
Collect some World Models for Autonomous Driving papers.
Code for "TD-MPC2: Scalable, Robust World Models for Continuous Control"
[CVPR 2024 Highlight] Visual Point Cloud Forecasting
A skill-based platform for ROS v.2 with knowledge representating, planning and reasoning
Code for "Hierarchical World Models as Visual Whole-Body Humanoid Controllers"
Official repository for "iVideoGPT: Interactive VideoGPTs are Scalable World Models" (NeurIPS 2024), https://arxiv.org/abs/2405.15223
[NeurIPS 2024] Agent Planning with World Knowledge Model
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.
Official Implementation for the paper "R-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models"
Official implementation of Neural Lithography (SIGGRAPH Asia 2023)
Official repo of the paper "MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos"
Official code for the paper, "Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining"
I GAVE GPT-4 EYES!
A curated list of awesome world models for autonomous driving (continually updated)
A real-time, high-frequency, real-world desktop environment that is suitable for desktop-based ML development (agents, world models, etc.)
ACT-Bench – We Evaluate Action-Fidelity of World Models for Autonomous Driving
Official implementation of the Informed Dreamer algorithm, based on DreamerV3
Learning Discrete World Models for Heuristic Search
Train a JEPA world model on a set of pre-collected trajectories from a toy environment involving an agent in two rooms.
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