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# MFG-RL-PIDL | ||
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This is the source code for paper - A Hybrid Framework of Reinforcement Learning and Physics-Informed Deep Learning for Spatiotemporal Mean Field Games. | ||
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## File Structure | ||
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- `data` folder includes the numerical results of MFGs. | ||
- `MFG-RL-PIDL.py` is the runner of Alg. 1 MFG RL-PIDL in our paper. | ||
- `value_iteration_DDPG.py` is the training function of Alg. 1 MFG RL-PIDL. | ||
- `MFG-Pure-PIDL-*.ipynb` are the source codes of the Alg. 2 MFG-Pure-PIDL. | ||
- `model.py` includes the PyTorch network models of $\rho$ -Net, V-Net and u-net. | ||
- `uitls.py` are the implementations of auxiliary function. |
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