Shixun Wu

Results 9 issues of Shixun Wu

@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

@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

@Yonv1943 Gym version=0.21 caused ```get_gym_env_args(gym.make("BipedalWalker-v3"), if_print=False)``` in the **Part 3** of [tutorial_BipedalWalker_v3.ipynb](https://github.com/AI4Finance-Foundation/ElegantRL/blob/98b83959cc6e62f17e7c2ad104c5050e84bd7297/tutorial_BipedalWalker_v3.ipynb) failed. Gym version 0.21 cannot register BipedalWalker-v3 and LunarLanderContinuous-v2, while version 0.17.0 worked fine. The install requirements [requirements.txt](https://github.com/AI4Finance-Foundation/ElegantRL/blob/98b83959cc6e62f17e7c2ad104c5050e84bd7297/requirements.txt)...

dependencies

@Yonv1943 Hi, as REINFORCE is a fundamental and important algorithm in RL, will this be supported in ElegantRL?

help_wanted

Greetings, I am very grateful that vmap is supported in functorch. Is there any plan to include support for pmap in the future? Thank you. Additionally, what are the ways...

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discussion

+ Ming Zhu @zhumingpassional: TSP, 3SAT, MILP; + Shixun Wu @shixun404: Graph Maxcut, Knapsack; + Zeliang Zhang @ZhangAIPI: Vehicle routing, Vertex cover; GA and Greedy algorithms. + Wei Xu @spicywei:...

enhancement

We have developed a training demo that utilizes REINFORCE and a brute force baseline to find the best contraction order for a tensor chain. We welcome any suggestions or feedback...

enhancement