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Discussion Same Brain but different behavior for the same prefabs.

Discussion in 'ML-Agents' started by SkeVinc1, Oct 29, 2022.

  1. SkeVinc1

    SkeVinc1

    Joined:
    Oct 29, 2022
    Posts:
    4
    Hi all! I'v just trained six same agents with a complicated tasks for 5000000 steps. However, different agents perform differently both in training process and after training. Some can behave successfully while others can't. I wonder why this happens. Is this because of the convergence problem that the policy still gives some bad random actions? In that case, to solve the problem, should I just make it train for more steps? Thank you!