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Can't seem to normalize mean reward

Discussion in 'ML-Agents' started by Print_Hello_World, Feb 20, 2020.

  1. Print_Hello_World

    Print_Hello_World

    Joined:
    Jan 14, 2020
    Posts:
    12
    Hi guys,

    I am trying to train a drone to fly towards a given direction, I have a reward function that uses AddReward(totalreward) where i made sure that totalreward is normalized. (I checked it by running a debug.log(totalreward) and could see that it was between -1 and 1. However, my mean reward is in the hundreds. I have set max step to be 200 and decision interval to be 1. Can somebody help me?

    Here are some screenshots of my training progress and settings:
    upload_2020-2-20_10-24-41.png
    upload_2020-2-20_10-23-23.png
     

    Attached Files:

    Last edited: Feb 20, 2020
  2. jeffrey_unity538

    jeffrey_unity538

    Unity Technologies

    Joined:
    Feb 15, 2018
    Posts:
    59
    hi - the mean reward is the cumulative reward over the # of steps. Let me know if that helps clarify.
     
  3. Print_Hello_World

    Print_Hello_World

    Joined:
    Jan 14, 2020
    Posts:
    12
    Oh ok I had my suspicion that that was the case.
    So if I normalize my rewards per time step according to the best practices it should be ok right? regardless of the cumulative/mean reward.
     
  4. jeffrey_unity538

    jeffrey_unity538

    Unity Technologies

    Joined:
    Feb 15, 2018
    Posts:
    59
    yes, best practice is to normalize the way you have described.
     
    Print_Hello_World likes this.