Awesome
<h1 align="center"> <b> Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree 🌳 </b> </h1> <div align="center"> <b> ICML 2024 (Spotlight) </b> </div> <p align="center"> | <a href="https://github.com/langfengQ/tree-diffusion-planner"><b>Website</b></a> | <a href="https://arxiv.org/abs/2405.17879"><b>Arxiv</b></a> | <a href="https://proceedings.mlr.press/v235/feng24b.html"><b>Paper</b></a> | <a href="https://icml.cc/media/PosterPDFs/ICML%202024/34197.png?t=1719634719.7916923"><b>Poster</b></a> | </p> <p align="center"> | <a href="https://github.com/langfengQ/tree-diffusion-planner/tree/maze2d"><b>Code in Maze2D</b></a> | <a href="https://github.com/langfengQ/tree-diffusion-planner/tree/kuka"><b>Code in Kuka</b></a> | <a href="https://github.com/langfengQ/tree-diffusion-planner/tree/locomotion"><b>Code in Locomotion</b></a> | </p>This repository contains the complete code of TAT built upon the pre-trained Diffuser. The codes are organized into three separate sub-branches for easy access:
- Maze2D environment: access the code here (
maze2d
branch). - Kuka Block Stacking environment: access the code here (
kuka
branch). - MuJoCo Locomotion environment: access the code here (
locomotion
branch).
⚠️ Note: the master
branch does not contain any codes. Please refer to the maze2d
, kuka
, and locomotion
branches for the full implementations.
🚀 Quick Start
To get started with this repository, follow these steps:
- Clone the repository and verify the available branches:
git clone https://github.com/langfengQ/tree-diffusion-planner.git
cd tree-diffusion-planner/
git branch -a
# * master
# remotes/origin/HEAD -> origin/master
# remotes/origin/kuka
# remotes/origin/locomotion
# remotes/origin/master
# remotes/origin/maze2d
The command git branch -a
lists all the branches, and you should see the following branches: master
, maze2d
, kuka
, and locomotion
.
- Switch to a specific branch to access the corresponding environment's code:
For the Maze2D environment:
git checkout maze2d
# Branch 'maze2d' set up to track remote branch 'maze2d' from 'origin'.
# Switched to a new branch 'maze2d'
For the Kuka Block Stacking environment:
git checkout kuka
# Branch 'kuka' set up to track remote branch 'kuka' from 'origin'.
# Switched to a new branch 'kuka'
For the MuJoCo Locomotion environment:
git checkout locomotion
# Branch 'locomotion' set up to track remote branch 'locomotion' from 'origin'.
# Switched to a new branch 'locomotion'
- Follow the branch-specific README: Now you are ready to explore and experiment with TAT in your chosen environment! 🥳 Then, you can refer to that sub-branch's README file for instructions on setting up the environment, running experiments, and additional configurations.
❓ Issue
If you have any questions about the code, please feel free to open an issue!
📝 Citation
@inproceedings{feng2024resisting,
title={Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree},
author={Feng, Lang and Gu, Pengjie and An, Bo and Pan, Gang},
booktitle={International Conference on Machine Learning},
pages={13175--13198},
volume={235},
year={2024},
organization={PMLR},
}
🙏 Acknowledgements
This implementation is based on the Diffuser repo.