# gaoyinfeng/piwm

**Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/gaoyinfeng-piwm).**

_How this analysis was created: the description and tags below were written by an AI model that read this project's README and public documentation pages; stars, license and language come straight from the GitHub API. The model does not read the source code._

46 stars · 3 forks · Python · MIT

## Links

- GitHub: https://github.com/gaoyinfeng/PIWM
- awesome-repositories: https://awesome-repositories.com/repository/gaoyinfeng-piwm.md

## Description

JAX implementation of the PIWM. PIWM is a novel model-based reinforcement learning method built upon DreamerV3. It is typically designed for autonomous driving tasks. It learns to model the driving environment from an individual perspective and enhances the transition dynamic by explicitly…

## Tags

### Part of an Awesome List

- [Driving World Models](https://awesome-repositories.com/f/awesome-lists/ai/driving-world-models.md) — Predictive individual world model for driving control.