运行代理场景时“期望用双引号括起来的属性名称”

Question

In summary, I have a pair of legs that have rotation-axis-points and want to be able to allow the computer to figure out which way the legs should rotate to allow itself to balance and keep the 'waist' game-object greater than a certain height (Essentially self-balancing ). If the waist falls under a certain height, (IE, falling over) the agent gets a reward-reduction. When I run the Anaconda prompt and run Unity when it asks me to, Unity freezes and Anaconda displays the error code shown below. It's hard to find up-to-date tutorials so I would really appreciate some support. What's going on? Thank you. (:

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INFO:mlagents.trainers:CommandLineOptions(debug=False, num_runs=1, seed=-1, env_path=None, run_id='testRun1', load_model=False, train_model=False, save_freq=50000, keep_checkpoints=5, base_port=5005, num_envs=1, curriculum_folder='config/curricula/Balance/', lesson=0, slow=False, no_graphics=False, multi_gpu=False, trainer_config_path='config/trainer_config.yaml', sampler_file_path=None, docker_target_name=None, env_args=None, cpu=False)
INFO:mlagents.envs:Start training by pressing the Play button in the Unity Editor.
INFO:mlagents.envs:
'BalanceAcademy' started successfully!
Unity Academy name: BalanceAcademy
        Reset Parameters : {}
Traceback (most recent call last):
  File "c:\users\jaden williams\dropbox\documents\ml-agents-0.12.0\ml-agents\mlagents\trainers\curriculum.py", line 132, in _load_curriculum
    return json.load(fp)
  File "C:\Users\Jaden Williams\.conda\envs\ml_Balance01\lib\json\__init__.py", line 296, in load
    parse_constant=parse_constant, object_pairs_hook=object_pairs_hook, **kw)
  File "C:\Users\Jaden Williams\.conda\envs\ml_Balance01\lib\json\__init__.py", line 348, in loads
    return _default_decoder.decode(s)
  File "C:\Users\Jaden Williams\.conda\envs\ml_Balance01\lib\json\decoder.py", line 337, in decode
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
  File "C:\Users\Jaden Williams\.conda\envs\ml_Balance01\lib\json\decoder.py", line 353, in raw_decode
    obj, end = self.scan_once(s, idx)
json.decoder.JSONDecodeError: Expecting property name enclosed in double quotes: line 6 column 1 (char 112)

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\Users\Jaden Williams\.conda\envs\ml_Balance01\Scripts\mlagents-learn-script.py", line 11, in <module>
    load_entry_point('mlagents', 'console_scripts', 'mlagents-learn')()
  File "c:\users\jaden williams\dropbox\documents\ml-agents-0.12.0\ml-agents\mlagents\trainers\learn.py", line 422, in main
    run_training(0, run_seed, options, Queue())
  File "c:\users\jaden williams\dropbox\documents\ml-agents-0.12.0\ml-agents\mlagents\trainers\learn.py", line 232, in run_training
    curriculum_folder, env, options.lesson
  File "c:\users\jaden williams\dropbox\documents\ml-agents-0.12.0\ml-agents\mlagents\trainers\learn.py", line 300, in try_create_meta_curriculum
    meta_curriculum = MetaCurriculum(curriculum_folder, env.reset_parameters)
  File "c:\users\jaden williams\dropbox\documents\ml-agents-0.12.0\ml-agents\mlagents\trainers\meta_curriculum.py", line 43, in __init__
    curriculum = Curriculum(curriculum_filepath, default_reset_parameters)
  File "c:\users\jaden williams\dropbox\documents\ml-agents-0.12.0\ml-agents\mlagents\trainers\curriculum.py", line 26, in __init__
    self.data = Curriculum.load_curriculum_file(location)
  File "c:\users\jaden williams\dropbox\documents\ml-agents-0.12.0\ml-agents\mlagents\trainers\curriculum.py", line 119, in load_curriculum_file
    return Curriculum._load_curriculum(data_file)
  File "c:\users\jaden williams\dropbox\documents\ml-agents-0.12.0\ml-agents\mlagents\trainers\curriculum.py", line 137, in _load_curriculum
    ) from e
mlagents.trainers.exception.CurriculumLoadingError: Error parsing JSON file. Please check for formatting errors. A tool such as https://jsonlint.com/ can be helpful with this.

And here is my code for the agent:

using MLAgents;
using System;
using System.Collections;
using System.Collections.Generic;
using UnityEngine;

public class BalanceAgent : Agent
{
    private BalancingArea area;
    public GameObject waist;
    public GameObject buttR;
    public GameObject buttL;
    public GameObject thighR;
    public GameObject thighL;
    public GameObject legR;
    public GameObject legL;
    public GameObject footR;
    public GameObject footL;
    public GameObject goal;
    // private float buttR = 0f;


    public override void InitializeAgent() {
        base.InitializeAgent();
        area = GetComponentInParent<BalancingArea>();

    }

    public override void AgentAction(float[] vectorAction) {

        int buttRDir = 0;
        int buttRVec = (int)vectorAction[0];
        switch (buttRVec) {
            case 3:
                buttRDir = 0;
                break;
            case 1:
                buttRDir = -1;
                break;
            case 2:
                buttRDir = 1;
                break;
        }
        buttR.transform.Rotate(0, buttRDir, 0);

        int buttLDir = 0;
        int buttLVec = (int)vectorAction[1];
        switch (buttLVec) {
            case 3:
                buttLDir = 0;
                break;
            case 1:
                buttLDir = -1;
                break;
            case 2:
                buttLDir = 1;
                break;
        }
        buttL.transform.Rotate(0, buttLDir, 0);

        int thighRDir = 0;
        int thighRVec = (int)vectorAction[2];
        switch (thighRVec) {
            case 3:
                thighRDir = 0;
                break;
            case 1:
                thighRDir = -1;
                break;
            case 2:
                thighRDir = 1;
                break;
        }
        thighR.transform.Rotate(0, thighRDir, 0);

        int thighLDir = 0;
        int thighLVec = (int)vectorAction[3];
        switch (thighLVec) {
            case 3:
                thighLDir = 0;
                break;
            case 1:
                thighLDir = -1;
                break;
            case 2:
                thighLDir = 1;
                break;
        }
        thighL.transform.Rotate(0, thighLDir, 0);

        int legRDir = 0;
        int legRVec = (int)vectorAction[4];
        switch (legRVec) {
            case 3:
                legRDir = 0;
                break;
            case 1:
                legRDir = -1;
                break;
            case 2:
                legRDir = 1;
                break;
        }
        legR.transform.Rotate(0, legRDir, 0);

        int legLDir = 0;
        int legLVec = (int)vectorAction[5];
        switch (legLVec) {
            case 3:
                legLDir = 0;
                break;
            case 1:
                legLDir = -1;
                break;
            case 2:
                legLDir = 1;
                break;
        }
        legL.transform.Rotate(0, legLDir, 0);

        int footRDir = 0;
        int footRVec = (int)vectorAction[6];
        switch (footRVec) {
            case 3:
                footRDir = 0;
                break;
            case 1:
                footRDir = -1;
                break;
            case 2:
                footRDir = 1;
                break;
        }
        footR.transform.Rotate(0, footRDir, 0);

        int footLDir = 0;
        int footLVec = (int)vectorAction[7];
        switch (footLVec) {
            case 3:
                footLDir = 0;
                break;
            case 1:
                footLDir = -1;
                break;
            case 2:
                footLDir = 1;
                break;
        }
        footL.transform.Rotate(0, footLDir, 0);




        //buttR = vectorAction[0]; //Right or none
        //if (buttR == 2) buttR = -1f; //Left

        if (waist.transform.position.y > -1.3) {
            AddReward(.1f);
        }
        else {
            AddReward(-.02f);
        }

        if(waist.transform.position.y <= -3) {
            AddReward(-.1f);
            Done();
        }

    }

    public override void CollectObservations() {
        AddVectorObs(waist.transform.localRotation.y);
        AddVectorObs(buttR.transform.localRotation.x);
        AddVectorObs(buttL.transform.localRotation.x);
        AddVectorObs(thighR.transform.localRotation.y);
        AddVectorObs(thighL.transform.localRotation.y);
        AddVectorObs(legR.transform.localRotation.y);
        AddVectorObs(legL.transform.localRotation.y);
        AddVectorObs(footR.transform.localRotation.y);
        AddVectorObs(footL.transform.localRotation.y);

        AddVectorObs(waist.GetComponent<Rigidbody>().freezeRotation);
    }
}

Answer 1

It is having trouble finding and loading the curriculua in the specified curriculum_folder parameter. Because you don't need curricula, you can remove the curriculum_folder parameter and it will proceed without trying to load any of them.