DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.
Mastering Diverse Domains through World Models
Mastering Atari with Discrete World Models
Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.
[CVPR 2024 Highlight] GenAD: Generalized Predictive Model for Autonomous Driving & Foundation Models in Autonomous System
Dream to Control: Learning Behaviors by Latent Imagination
DayDreamer: World Models for Physical Robot Learning
A comprehensive survey of forging vision foundation models for autonomous driving, including challenges, methodologies, and opportunities.
A curated list of world models for autonomous driving. Keep updated.
A structured implementation of MuZero
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
Implementation of a framework for Genie2 in Pytorch
Code for "DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT"
Deep Hierarchical Planning from Pixels
Efficient World Models with Context-Aware Tokenization. ICML 2024
Code for the ICLR 2024 spotlight paper: "Learning to Act without Actions" (introducing Latent Action Policies)
Find and Play Generative Games Locally
World Models applied to the Open AI Sonic Retro Contest
Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.
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