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Training of a Traffic Light Controlling Agent by Reinforcement Learning method with Lienar Function Approximation

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TLC-RL

Training a Traffic Signal Controlling Agent by Reinforcement Learning method with Lienar Function Approximation Simulation tool: SUMO Python 2.7

  • TD.py: Take action (phase index) and update the linear weight every 10 seconds.
  • RL.py: When phase is changed, agent starts to take action (change phase again or extend the phase) after the mininmum green time.

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Training of a Traffic Light Controlling Agent by Reinforcement Learning method with Lienar Function Approximation

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