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RNN-Powered-Trading-Agent-using-PPO
SruthiVihitha · PyTorch
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Overview
Name
RNN-Powered-Trading-Agent-using-PPO
Author
SruthiVihitha
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
An end-to-end project that trains, evaluates, and visualizes RL trading agents which use RNNs (LSTM / GRU) or MLPs as market-state encoders. Includes an ablation study (LSTM vs GRU vs MLP), a production-grade LSTM agent trained with PPO, and a Streamlit GUI to load models, backtest and generate live
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
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Compatible environments
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Datasets that reference this policy
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