Train a Smartcab to Drive

Applied reinforcement learning to build a simulated vehicle navigation agent.
This project involved

  • modeling a complex control problem in terms of limited available inputs
  • designing a scheme to automatically learn an optimal driving strategy based on rewards and penalties.

Github

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