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Resume training after modifying behavior parameters

Discussion in 'ML-Agents' started by m4l4, Jul 30, 2020.

  1. m4l4

    m4l4

    Joined:
    Jul 28, 2020
    Posts:
    81
    Hi everyone, i was wondering...

    what's the impact of modifying behavior parameters during training? by adding complexity to an environment, the agent will probably need more inputs, maybe even more outputs if it gets some new ability.

    is it possible to resume training after adding new inputs, sensors and whatsoever? does that affect training somehow?
     
  2. celion_unity

    celion_unity

    Joined:
    Jun 12, 2019
    Posts:
    289
    In general, this is called "transfer learning". At the moment, it's not possible to do this in ML-Agents, but we have some interns doing research into it.
     
    m4l4 likes this.