metadata
language: en
license: apache-2.0
pipeline_tag: text-generation
library_name: transformers
🦒 The Physics of Multi-Turn Long-Horizon Planning: From Pre-training to Post-training via Single- and Multi-Teacher On-Policy Agentic Distillation
This repository hosts the models from PlanPhys, a family of foundation models designed for researching multi-turn long-horizon planning.
The PlanPhys model family explores different training strategies, including Random model, SFT model, OPD model.
Paper: https://huggingface.co/papers/2607.24720 Project page: https://quester-one.github.io/PlanPhysWebsite/ Code: https://github.com/Quester-one/PlanPhysCode
🚀 Model Zoo
We provide multiple PlanPhys models (The data is in each Files and version):
| Model |
|---|
| 🔹 PlanPhys-Model-Pre-Training-Random |
| 🔹 PlanPhys-Model-Pre-Training-Scaling |
| 🔹 PlanPhys-Model-Pre-Training-Distribution |
| 🔹 PlanPhys-Model-Pre-Training-Ensemble |
📝 Citation
If you find PlanPhys useful in your research, please cite:
@article{PlanPhys,
title={The Physics of Multi-Turn Long-Horizon Planning: From Pre-training to Post-training via Single- and Multi-Teacher On-Policy Agentic Distillation},
author={},
journal={},
year={}
}