Mastering Diverse Domains through World Models
#计算机科学#DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.
#计算机科学#Mastering Atari with Discrete World Models
#计算机科学#Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.
[CVPR 2024 Highlight] GenAD: Generalized Predictive Model for Autonomous Driving
#计算机科学#Dream to Control: Learning Behaviors by Latent Imagination
DayDreamer: World Models for Physical Robot Learning
#计算机科学#A curated list of world models for autonomous driving. Keep updated.
A comprehensive survey of forging vision foundation models for autonomous driving, including challenges, methodologies, and opportunities.
An open source code repository of driving world models, with training, inferencing, evaluation tools, and pretrained checkpoints.
World Model based Autonomous Driving Platform in CARLA 🚗
《多模态大模型：新一代人工智能技术范式》作者：刘阳，林倞
A structured implementation of MuZero
TesserAct: Learning 4D Embodied World Models
Code for "DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT"
#计算机科学#Implementation of a framework for Genie2 in Pytorch
#计算机科学#Implementation of the new SOTA for model based RL, from the paper "Improving Transformer World Models for Data-Efficient RL", in Pytorch
Find and Play Generative Games Locally
A comprehensive list of papers investigating physical cognition in video generation, including papers, codes, and related websites.
Code for the ICLR 2024 spotlight paper: "Learning to Act without Actions" (introducing Latent Action Policies)