AI4Finance-Foundation / AI4Finance-Foundation/FinRL-Tutorials
Where to find the code for the results given in "FinRL-Podracer: High Performance and Scalable Deep Reinforcement Learning for Quantitative Finance"
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Descrizione
Hello
From [this](https://dl.acm.org/doi/pdf/10.1145/3490354.3494413) paper, I see these results:

I.e. **111.549%** annual return from "yours" FinRL-Podracer, **79.821%** from "vanilla" FinRL-Podracer and **99.347%** from RLLib.$
But, for each of these, could you please tell where is the code ?
I looked into the present repo (FinRL-Tutorials) and I found some code about RLLib in the section: "4-Optimization" but I am not sure they "correspond" to the paper.
Same thing for the Podracer results, where is the code exactly ? (indeed, there are several repo that contain some "podracer" code, see [here](https://github.com/AI4Finance-Foundation/FinRL-Tutorials/blob/7954a56ef5c5ae945dd77af6c9dff814cba2475d/2-Advance/nas100_gpu_podracer.py#L9), [here ](https://github.com/AI4Finance-Foundation/FinRL_Podracer)
Regards
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Direzione di ricerca
Compare the paper's reported results with the 4-Optimization section, 2-Advance/nas100_gpu_podracer.py, and the linked FinRL_Podracer repository. Check whether these locations correspond to the paper's RLLib, vanilla Podracer, and FinRL-Podracer results; document the exact source or state that the implementation is unavailable.
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Valutazione
- Stack tecnologico
- jupyter-notebook, python
- Ambito
- documentation, fintech-quant, machine-learning
- Tipo di issue
- Documentazione
- Difficoltà
- 2/5
- Tempo stimato
- 1-3 ore
- Stato di attività
- Ferma
- Chiarezza
- Da chiarire
- Idoneità per principianti
- 25/100