ElegantRL
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Massively Parallel Deep Reinforcement Learning. 🔥
While testing the FinRL_MultiCrypto_Trading.ipynb notebook, it throws out an error in the following ImportError Traceback (most recent call last) [](https://localhost:8080/#) in () ----> 1 from agents.elegantrl_models import DRLAgent as DRLAgent_erl...
I want to train an agent with mujoco env, but don't know how to set the hyperparameter, is there and demo.py for mujoco env?
Traceback (most recent call last): File "C:\***\marco\Desktop\Stock_invester\model_trainer.py", line 14, in from finrl.agents.elegantrl.models import DRLAgent as DRLAgent_erl File "C:\Users\***\AppData\Local\miniconda3\envs\Stock_invester\lib\site-packages\finrl\agents\elegantrl\models.py", line 11, in from elegantrl.train.config import Arguments ImportError: cannot import name 'Arguments'...
I am getting this error when I attempt paper trading using Alpaca: ImportError: cannot import name 'Arguments' from 'elegantrl.train.config' Any help would be greatly appreciated.
I've revise your commits and PR. Mose update are not so useful / crucial (especially on .md / .rst etc.) when comparing to the increasing issues. Pls focusing on fixing...
mportError: cannot import name 'train_and_evaluate' from 'elegantrl.train.run' too much bugs. codes not consistent.
Is there a demo designed to use this file? https://github.com/AI4Finance-Foundation/ElegantRL/blob/master/elegantrl/agents/AgentMADDPG.py
Run demo_FinRL_ElegantRL_China_A_shares.ipynb JupyterLab reports an error  Thanks!
小雅的作者你们好! 我很开心能看到这样一个轻量高效的强化学习库,我觉得我能用它来做很多很酷的事情。 但是我也注意到,小雅目前并不支持模仿学习。在正式训练前,通过行为克隆或其它模仿学习算法对模型预训练是一个非常有效的方法,请问你们有添加这类功能的打算吗? 期待您的回复。