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Partner Approximating Learner

Overview

PAL should be able to learn how to optimally control a given system with an unknown and also slowly adapting second controller.

Keywords

Optimal Control, Differential Games, Identification, Neural Networks, DDPG

What it does (when executing main):

  • Simulates the training of two controllers
  • Plots the result (You can make more information like the control variable u visible in the plot window)
  • Prints some interesting information about the run
  • Saves the result into a file

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A cooperative and adaptive deep reinforcement learning agent

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