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ray

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gjoliver
gjoliver commented Apr 13, 2022

Description

There are multiple user requests of using GraphNN data (node and edge lists) as sample batches into a custom RLlib model.

https://discuss.ray.io/t/rllib-variable-length-observation-spaces-without-padding/726
https://discuss.ray.io/t/working-with-graph-neural-networks-varying-state-space/5730/2

The recommended method today is to use Repeated observation space and VariableVal

good first issue enhancement P2 rllib-models
codeflare
raghukiran1224
raghukiran1224 commented Jul 22, 2021

Overview

As a CFP user, I would like to split a dataset (e.g., np array, pandas dataframe) into smaller objects that can then be fed into other nodes/pipeline. This is especially useful when we have compute intensive tasks and would like to parallelize it eas

good first issue help wanted cfp-datamodel user-story
Jeffwan
Jeffwan commented Mar 23, 2022

Search before asking

  • I had searched in the issues and found no similar feature requirement.

Description

We get some feedbacks from users and user feel the project lacks docs on the features and guidances.
Another motivation to have a separate site is for building brand.

I feel we can generate a user facing site to host those

enhancement good first issue help wanted

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

  • Updated Mar 11, 2022
  • Jupyter Notebook

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