Create README.md

README.md

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+---
+title: FrozenSlippery Q-Table Model
+emoji: ❄️
+colorFrom: blue
+colorTo: indigo
+sdk: gradio
+sdk_version: "3.0.0"
+app_file: app.py
+pinned: false
+---
+
+# FrozenSlippery Q-Table Model
+
+This repository contains the trained Q-table model for the FrozenSlippery environment. It uses Q-learning to optimize the agent's performance in a reinforcement learning setup. The Q-table is stored as a `.npy` file and is used to predict actions for the agent based on its state.
+
+## Files
+
+- **frozenslippery_q_table.npy**: The saved Q-table of the trained model.
+- **app.py**: The application file to run the model and interact with the environment (if applicable).
+
+## How to Use
+
+1. Clone the repository or pull the latest version to get the trained Q-table.
+2. Use the Q-table in your reinforcement learning setup or interface with the provided app.
+
+### Example Usage:
+To load the Q-table and use it in your environment, run the following:
+
+```python
+import numpy as np
+
+q_table = np.load('frozenslippery_q_table.npy')
+# Use q_table in your environment setup