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What features do you want to add to XingTian? #5

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4 of 8 tasks
tmhm opened this issue Nov 27, 2020 · 2 comments
Open
4 of 8 tasks

What features do you want to add to XingTian? #5

tmhm opened this issue Nov 27, 2020 · 2 comments

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@tmhm
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tmhm commented Nov 27, 2020

We want to know what you want to add to XingTian, we will evaluate your suggestions and make a plan. Please let us know if you are interested.

  • add detailed user-defined module guidance
  • add supports for distribution of continuous & discrete action space
  • add supports for model-based algorithms, e.g, MuZero
  • add supports for multi-agents algorithms, e.g, Qmix
  • add support for evolutionary algorithms, e.g, PBT
  • add supports for DaVinci
  • add supports for training with Multi-GPU
  • add supports for call XingTian within user-python-code
@tmhm tmhm changed the title What features do you want to add to XingTian? What features do you want to add to XingTian? Nov 27, 2020
@terryzhao127
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Firstly, XingTian is a great distributed reinforcement learning framework with elegant codes and clear modularization. Following are the features that can be added:

  1. More docs on the zeus package for developers interested in the implementation
  2. K8s support

@tmhm
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tmhm commented Jan 30, 2021

Thanks for your advices. The docs will be enriching consciously , and support for K8s is necessary.
By the way, if you are interested in them, we'd be happy to receive your contributions. :)

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