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Question Creating an FSM agent in the dodgeball environment

Discussion in 'ML-Agents' started by Hallahallan, Mar 13, 2023.

  1. Hallahallan

    Hallahallan

    Joined:
    Jan 16, 2023
    Posts:
    7
    Hello,

    I would like to create a simpler agent for benchmark purposes. I am using NEAT to create new agents for my masters thesis, but i need an agent that is similar to a standard game NPC to measure the results from the NEAT agent against.

    The environment i want to make the agent for is the ml-agents dodgeball environment. I want to note that I have manipulated the environment to be a 1v1 environment instead of the 4v4 elimination mode that is included in the dodgeball environment. Ideally I just want an agent that is able to play the game against a human opponent.

    I am not well versed in unity, so i was wondering if there was a simple and time efficient way to do this. If anyone knows of any frameworks/previously created FSM or rule based agents/general conventional approach to this problem, it would help tons!

    Here is the original Dodgeball environment:
    https://github.com/Unity-Technologies/ml-agents-dodgeball-env
    Here is my repo:
    https://github.com/Hallahallan/Dodgeball-Bio-fMRI

    Answers or discussions around the topic are appreciated.
     
    Hallahallan, Mar 13, 2023
    #1