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README.md

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+---
+license: cc-by-nc-4.0
+language:
+- en
+base_model: Qwen/Qwen3-8B
+tags:
+- bargaining
+- negotiation
+- reinforcement-learning
+- grpo
+- bilateral-bargaining
+---
+
+# Qwen3-8B Bargaining Buyer (RL)
+
+A Qwen3-8B model trained via **reinforcement learning (GRPO)** to play as the **buyer** in bilateral bargaining negotiations.
+
+## Overview
+
+This model was trained as part of the [LLM Bilateral Bargaining](https://github.com/ZhuoranYang/llm_bilateral_bargaining) project, which studies how LLM agents negotiate in structured buyer-seller bargaining games.
+
+**Training method**: Group Relative Policy Optimization (GRPO) with a multi-component reward function covering parsing correctness, execution success, constraint compliance, and negotiation utility. Initialized from the [SFT checkpoint](https://huggingface.co/yale-cadmy/qwen3-8B-bargaining-sft).
+
+**Role**: Buyer agent — negotiates to purchase items at the lowest price while respecting a private maximum willingness to pay.
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model = AutoModelForCausalLM.from_pretrained(
+    "yale-cadmy/qwen3-8B-bargaining-buyer-rl",
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+)
+tokenizer = AutoTokenizer.from_pretrained("yale-cadmy/qwen3-8B-bargaining-buyer-rl")
+```
+
+## License
+
+CC-BY-NC-4.0. See the [LLM Bilateral Bargaining](https://github.com/ZhuoranYang/llm_bilateral_bargaining) repository for details.