davidnvq

# https://github.com/pytorch/examples/blob/master/imagenet/main.py#L392-L396

def adjust_learning_rate(optimizer, epoch, args):
    """Sets the learning rate to the initial LR decayed by 10 every 30 epochs"""
    lr = args.lr * (0.1 ** (epoch // 30))
    for param_group in optimizer.param_groups:
        param_group['lr'] = lr

        # Create a learning rate adjustment function that divides the learning rate by 10 every 30 epochs
def adjust_learning_rate(epoch):

etendue

import multiprocessing as mp
import ai2thor.controller
import numpy as np
import time
import os

actions = [
    'MoveAhead',
    'MoveBack',
    'MoveRight',