Instructions to use sdasdasdas11/anggimozzi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sdasdasdas11/anggimozzi with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sdasdasdas11/anggimozzi", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Update RL Model: Add/Update model 'DQN-CartPole-v1-ep3' and regenerate unified README.md
d3711e3 verified | library_name: stable-baselines3 | |
| tags: | |
| - reinforcement-learning | |
| - deep-reinforcement-learning | |
| - agenlus | |
| # Agenlus Model Hub π | |
| Welcome to your Agenlus Reinforcement Learning repository! This repository hosts multiple trained models. | |
| ## π Models Summary | |
| | Model Name | Environment | Algorithm | Best Score | Episodes | Links | | |
| | :--- | :--- | :--- | :--- | :--- | :--- | | |
| | **DQN-CartPole-v1-ep3** | `CartPole-v1` | `DQN` | **17.67** | 3 | [Browse Files](https://huggingface.co/sdasdasdas11/anggimozzi/tree/main/DQN-CartPole-v1-ep3) | | |
| ## π Model Details & Instructions | |
| ### π¦ DQN-CartPole-v1-ep3 | |
| * **Environment:** `CartPole-v1` | |
| * **RL Algorithm:** `DQN` | |
| * **Best Avg Reward:** `17.67` | |
| * **Episodes Trained:** `3` | |
| **Description:** | |
| DQN model trained on CartPole-v1 for 3 episodes. Best avg reward: 17.67. | |
| **How to load:** | |
| ```javascript | |
| const model = await tf.loadLayersModel('https://huggingface.co/sdasdasdas11/anggimozzi/raw/main/DQN-CartPole-v1-ep3/model.json'); | |
| ``` | |
| --- | |