Instructions to use cajcodes/dqn-floorplan-navigator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cajcodes/dqn-floorplan-navigator with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cajcodes/dqn-floorplan-navigator", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_type": "DQN", | |
| "input_size": 100, | |
| "hidden_sizes": [64, 64], | |
| "output_size": 4, | |
| "learning_rate": 0.001, | |
| "batch_size": 64, | |
| "gamma": 0.99, | |
| "target_update_freq": 100, | |
| "num_episodes": 50, | |
| "checkpoint_freq": 10 | |
| } | |