Comments (1)
In fact there is only one model implemented by PyTorch now, DDPG_v2.
If your env has already matched the requirements and crawled stock data (Instructions are in README.md), you can just run the DDPG_v2 directly.
But the Pytorch version is still need to be updated, compared with Tensorflow version, there isn't ploter or saver ... because I'm still learning, too.
There are still many things that need to be done, I'm trying, sorry for the late reply and inconvenience.
from personae.
Related Issues (20)
- error in run with docker HOT 1
- a problem about config HOT 4
- ImportError: /usr/lib/x86_64-linux-gnu/libcuda.so.1: file too short HOT 5
- Question about the mix_index_state HOT 2
- About sequence data in RL Algorithm HOT 1
- help with set up. HOT 3
- In the RL algorithms, why label in training set is at t+2 while which in validate set is at time t+1 ? HOT 2
- It seems that the RL algorithms under default parameters didn't learn anything. HOT 1
- Add Forex data and continuous LIVE training , validation and trading piece HOT 1
- Why assume that everyone is going to use your docker image ? What is the actual launch script ?
- How to run this program in anaconda3?
- potential bug and a question HOT 1
- errors about mongo
- Why DoubleDQN output action always be 9
- I just wanna say "Have u found a job?"
- you just kidding me HOT 1
- code 'sh' for index?
- # self.cnn_x_input is a [-1, 5, 20, 1] tensor, after cnn, the shape will be [-1, 5, 20, 5]., HOT 1
- New complementary Tool HOT 1
- sorry. please delete this issue
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from personae.