AI4Finance-Foundation / AI4Finance-Foundation/RLSolver
✨ train_obj_model__warm_up__save_load for Tensor Train Task L2O H term
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[train_obj_model__warm_up__save_load.py.txt](https://github.com/AI4Finance-Foundation/ElegantRL_Solver/files/11078391/train_obj_model__warm_up__save_load.py.txt)
`thetas = thetas / thetas.norm(dim=1, keepdim=True)`
This is a very important step↑, which reduces the space of `theta` that we need to search (reduces one degree of freedom)
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