File size: 1,040 Bytes
84fd88d
 
 
 
 
 
 
 
 
 
248c966
84fd88d
248c966
84fd88d
 
 
 
 
 
 
 
 
 
 
 
 
 
3d3b95b
71b43f5
3d3b95b
84fd88d
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
---
license: apache-2.0
base_model:
- Qwen/Qwen3-4B-Base
---

# Spiral-Qwen3-4B

## Links

- 📜 [Paper](https://huggingface.co/papers/2506.24119)
- 💻 [GitHub](https://github.com/spiral-rl/spiral)
- 🤗 [Spiral Collection](https://huggingface.co/collections/spiral-rl/spiral-68627f14c250c3cc1fdbf6fe)

## Introduction

This model is trained with self-play on multi-games (TicTacToe, Kuhn Poker, Simple Negotiation) using the SPIRAL framework.

<img src="https://raw.githubusercontent.com/spiral-rl/spiral/refs/heads/main/assets/framework.png" width=100%/>


## Citation

```latex
@article{liu2025spiral,
  title={SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning},
  author={Liu, Bo and Guertler, Leon and Yu, Simon and Liu, Zichen and Qi, Penghui and Balcells, Daniel and Liu, Mickel and Tan, Cheston and Shi, Weiyan and Lin, Min and Lee, Wee Sun and Jaques, Natasha},
  year={2025},
  journal={arXiv preprint arXiv:2506.24119},
  url={https://arxiv.org/abs/2506.24119}
}
```