dakshanand

import math
import copy
import time
import random
import threading
import matplotlib
import numpy as np
from envHandler import Env

import torch

dakshanand

from __future__ import print_function
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets, transforms
from torch.autograd import Variable

import threading

dakshanand

def askAdvice(self, state):
    global msgGive, msgAsk        
    msgGive[self.agentNumber] = []
    for i in range(numAgents):   
            msgAsk[i][self.agentNumber] = state

    while True:
        self.giveAdvice()
        if len(msgGive[self.agentNumber]) == numAgents - 1:
          break