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@ppwwyyxx
Last active May 23, 2018 09:29
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placeholder for OpenAI Gym submission

Use A3C (asynchronous advantage actor-critic) written in TensorFlow. Training code, model & evaluation code at this repo

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@pablosjb
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Hello, i hope i am not bothering asking this here. I am kind of new here and I would like the following:

  • I am trying to solve the game "tennis-v0" in which the data (observation) is the image (RGB 3D-array) and I want first to extract features such as players position, ball position and score.
  • For the score, i am thinking about applying a text recognition algortihm in the region where the score is.
  • The problem is for the location of the items (players and ball), Can anyone help me telling which way to take?

Additionally I am preparing a dataset of the players in different shapes to then paste them in the field (previously the players erased) to have a classified dataset. What do you think about this.?? Thank you and regards.

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