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
File size: 256 Bytes
82b2cb6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"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
}
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