Comments (1)
Hi there, thanks for this feedback, I just updated the README and bumped TensorFlow to a supported stable version.
You can just run python3 evaluate.py --model_to_load=DDPG_ep10
to evaluate DDPG model. Model weights loading details are in DDPG.py
.
Note that model weights may be broken when using a newer TensorFlow version so you may need to retrain the models.
In addition, TensorFlow has evolved a lot over the years and the way the models were written in this repo were largely deprecated and should be restructured accordingly.
This project was a toy project when I was learning deep reinforcement learning myself. For better framework and closer to real world trading applications, I'd recommend trying this repository: https://github.com/AI4Finance-Foundation/FinRL
Keep learning!
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Related Issues (8)
- when running evaluate with DDPG always choose sell HOT 1
- how to save DDQN model HOT 2
- Memory issue
- Why don't save critic model weight on DDPG? HOT 1
- why don't agent balance learn slow on DDPG HOT 1
- Loss is in millions ...experience_replay() HOT 1
- Saved models are only working on ^DJI_2016 stock HOT 3
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from deep-reinforcement-stock-trading.