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Asyncrl

Implementation of this paper.

Requirements

Karpathy Simulator

Python modules:

  • progress==1.2
  • euclid==0.01

Command line utilities

  • ffmpeg
  • rsvg-convert

Future work

  • evalution metrics stored in relative experiment time
  • add exploration schedules
  • use as part of alphago

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Universal library for deep reinforcement learning.

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  • Python 98.6%
  • Shell 1.4%