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FinRL: Financial Reinforcement Learning. 🔥

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[SingleStockTrading.rst](https://github.com/AI4Finance-Foundation/FinRL/blob/master/docs/source/tutorial/Introduction/SingleStockTrading.rst) the links in some tutorial file are broken, such as https://colab.research.google.com/github/AI4Finance-LLC/FinRL-Library/blob/master/examples/old/DRL_single_stock_trading.ipynb etc.

doc

**Describe the bug** The bugs occur in Part 2 Train the agent while running train cell. The error message is ValueError: Too many values to unplack (expected 4) occurs in...

bug

Run FinRL/examples/FinRL_PaperTrading_Demo.ipynb Colab report error ![image](https://github.com/AI4Finance-Foundation/FinRL/assets/112242664/50b4a504-e877-4434-9232-932ef744630c) ![image](https://github.com/AI4Finance-Foundation/FinRL/assets/112242664/1765e091-8733-4431-86ab-9e7aa2438de6) Expect to run smoothly. Thanks!

bug

**Describe the bug** A clear and concise description of what the bug is. **To Reproduce** Steps to reproduce the behavior: 1. Ubuntu 20.04.6 LTS - aarch64 (Linux instance-20221117-1723 5.4.0-1099-oracle) ....

bug

Hi guys! Need Help here: I try run Alpaca paper Trading. Code here: data = DP.clean_data(data) data = DP.add_technical_indicator(data, INDICATORS) data = DP.add_vix(data) I Got error says: Something about UTC...

bug

我运行例子代码Stock_NeurIPS2018_2_Train.ipynb,得到错误 Could not infer dtype of numpy.float32 。请问怎么处理?我用的是python 10, numpy 1.24.3 torch 2.0.1 windows 10

bug

**Describe the bug** --------------------------------------------------------------------------- TypeError Traceback (most recent call last) ~\AppData\Local\Temp/ipykernel_32384/3594883500.py in 2 PPO_model_kwargs, 3 DDPG_model_kwargs, ----> 4 timesteps_dict) ~\FinRL\finrl\agents\stablebaselines3\models.py in run_ensemble_strategy(self, A2C_model_kwargs, PPO_model_kwargs, DDPG_model_kwargs, timesteps_dict) 672 iter_num=i, 673 turbulence_threshold=turbulence_threshold,...

bug

Can anybody provide an example or demo of MARL within FinRL? Thanx.

help_wanted

I have cuda installed. I have given "device": "cuda" in params but I am still getting using cpu device. `A2C_PARAMS = {"n_steps": 5, "ent_coef": 0.01, "learning_rate": 0.0005, "device": "cuda"}` output:...

help_wanted

Do you have an example code that single-leaner + multi-envs ?

help_wanted