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Massively Parallel Deep Reinforcement Learning. 🔥

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Hi, It seems that notebook eRL_demo_StockTrading.ipynb is deprecated and broken. It throughs the following error: > Traceback (most recent call last): File "/usr/lib/python3.7/multiprocessing/process.py", line 297, in _bootstrap self.run() File "/usr/lib/python3.7/multiprocessing/process.py",...

bug

How can this project implement a Recurrent Neural Network? Because all stock or crypto are time-series and lookback is a very important aspect of trading

Suggestion

I'm recently using your project for RL research. However, in my problem, the action space depends on the current state. I wonder whether this feature will be supported or not?...

Suggestion

in the AgentBase.py AgentBase.__init__() : ```python class AgentBase: def __init__(self, net_dim: int, state_dim: int, action_dim: int, gpu_id: int = 0, args: Arguments = None): ... '''network''' act_class = getattr(self, "act_class",...

bug

When I run examples/demo_Isaac_Gym.py. The following error has occurred: Traceback (most recent call last): File "examples/demo_IsaacGym.py", line 81, in demo(task) File "examples/demo_IsaacGym.py", line 76, in demo train_and_evaluate(args) File "/home/yh/py-packages/ElegantRL/elegantrl/train/run.py", line...

bug

@Yonv1943 I noticed you open two new branches to create [Pull Requests 218](https://github.com/AI4Finance-Foundation/ElegantRL/tree/217-add-unit-tests-for-elegantrl), and [Pull Request 216](https://github.com/AI4Finance-Foundation/ElegantRL/tree/213-selfstates0). The number of branches plays a key role in open-source projects. We should...

dicussion

There are two classes with same name `ReplayBufferList` within file `elegantrl / train / replay_buffer.py` in line `275` and `309`. They contain same named methods, but slightly differ in contents....

bug

直接运行tutorial_BipedalWalker_v3.ipynb 报错 --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) e:\study\machineStudy\project\matd3\ElegantRL\tutorial_BipedalWalker_v3.ipynb Cell 15 in () ----> [1](vscode-notebook-cell:/e%3A/study/machineStudy/project/matd3/ElegantRL/tutorial_BipedalWalker_v3.ipynb#X20sZmlsZQ%3D%3D?line=0) train_and_evaluate(args) File e:\study\machineStudy\project\matd3\ElegantRL\elegantrl\train\run.py:91, in train_and_evaluate(args) 88 buffer = init_buffer(args, gpu_id) 89 evaluator = init_evaluator(args,...

bug

@Yonv1943 self.states[0] is very difficult to understand. Please give a better method. https://github.com/AI4Finance-Foundation/ElegantRL/blob/98b83959cc6e62f17e7c2ad104c5050e84bd7297/helloworld/helloworld_PPO_single_file.py#L194

bug
dicussion

@Yonv1943 ``` # install elegantrl library !pip install git+https://github.com/AI4Finance-LLC/ElegantRL.git ``` ```pybullet``` and ```box2d-py``` cannot install successfully with this command in Win10. It requires Microsoft C++ 14.0. ```conda install -c conda-forge...

dependencies