Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
title: RL Interpretable Policy Via Kolmogorov Arnold Network | |
emoji: 🧠➡️🔢 | |
colorFrom: red | |
colorTo: purple | |
sdk: gradio | |
sdk_version: 4.29.0 | |
app_file: app.py | |
pinned: false | |
license: mit | |
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |
### Application demo : | |
- Choose a RL environment from the gymnasium library. A policy from a pre-trained Proximal Policy Optimization (PPO) agent will automatically be loaded, which generates an expert dataset and videos of the agent's performance in the selected environment. | |
- Click the "Compute Symbolic Policy" button to train a KAN policy on the expert dataset. Once it is done, you can visualize the KAN network and watch videos of the KAN agent's performance in the selected environment ! | |
<img alt="Interpretability app demo" src="demo/app_demo.gif"> | |