Ml Agents Brain play different while learning

Moreus · February 2, 2021, 2:03pm

I Made something similar to Gridword with Grid Sensor.
My Ml Agent learn really nice but when I try play from lasted brain my ML agent play much worse

change request form Fixed update script to Decision Requester but don’t make difference (only play nice while leaning)

Version information:
OS: windows 10
Unity 2020.1.9f1
ml-agents: 0.23.0,
ml-agents-envs: 0.23.0,
Communicator API: 1.3.0,
PyTorch: 1.7.0+cu110

ervteng_unity · February 2, 2021, 4:51pm

Hey warfanel, your video isn’t playing.
Can you try running mlagents-learn with --inference, --time-scale=1, and --resume? If it plays poorly with that, it’s most likely that the game behaves differently at high time scales. If not, we’ll have to investigate further. Thanks!

Moreus · February 2, 2021, 7:34pm

I’m sorry video was private.
Now with “–inference, --time-scale=1, and --resume”

is still different while learning
now I have 150+ fps

Moreus · February 6, 2021, 9:36am

My project

Scene: “Scene Maze Game”
script:

github.com/Wanfanel/AI-Game-2021

Assets/Scripts/Maze/PlayerMazeAgent.cs

Maze_v2_0

using UnityEngine;
using Unity.MLAgents;
using Unity.MLAgents.Sensors;
using System.Collections.Generic;
using Unity.MLAgents.Actuators;
using System;

namespace Game.Maze
{

    public struct Wall_position
    {
        public int x; public int z;
        public Wall_position(int x, int z)
        {
            this.x = x;
            this.z = z;
        }

        public override bool Equals(object obj)

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Ml Agents Brain play different while learning

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