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universe

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Shavarshk
Shavarshk commented Aug 2, 2020

I am suggesting adding up another feature which will be either a standalone or a part of an advanced search. I suggest adding up a tool which will permit to select a given area. A user can predefine searchable objects by their type (like dwarfs, blue giants and the like) and magnitude (all objects of the apparent/absolute magnitude, for example, 13). When search is done, the search box would list

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

  • Updated Feb 27, 2019
  • Jupyter Notebook
sg2nq
sg2nq commented Aug 18, 2020

Hi!
I'm looking into using the grapql-bc-checker for a project and I was hoping you would be open to adding a url to pick up the schema snapshot from the graphql server. Should be straightforward, only requires making an introspection query to the the graphql server. Link to a similar feature: [https://github.com/rodionovp/graphql-schema-compatibility-checker/blob/0cf2c75de3cf723baf93d6ec271bd7e

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