mtrazzi

import requests
from bs4 import BeautifulSoup
import pandas as pd
import time
import random

# List of URLs to scrape
urls = [
    "https://icml.cc/virtual/2023/poster/24721",
    "https://icml.cc/virtual/2023/poster/24944",

mtrazzi

# start by installing xdotool
# sudo apt-get install xdotool

# then get the "Interested" coordinates as X_INT and Y_INT
# sleep 2; xdotool getmouselocation --shell

# then run the script!

X_INT=577; Y_INT=413;

mtrazzi

"""Objective: Reduce action space to speed up training time
1st Action: No-Op, wait 1 frame to allow pictures to appears
2nd Action: True Action taken
3rd Action: Reverse action to go back at the center of the screen
4th Action: No-Op, to wait 1 frame to allow the cross to appears
"""
_, r_, _, _ = self.env.step(np.array([0, 0, 0, 0, 0, 0, 0], dtype=np.intc))
s1, r, d, t = self.env.step(action, True)
r += r_
if not d:

mtrazzi

### START MULTIPROCESSING
#########################

num_processes = 32

# Define an output queue
output = mp.Queue()

# Setup a list of processes that we want to run
processes = [mp.Process(target=episode, args=(self.env, self.local_AC, sess, rnn_state)) for i in range(num_processes)]

mtrazzi

import deepmind_lab

class WrapperEnv(object):
  """A gym-like wrapper environment for DeepMind Lab.
  (Work in Progress)

  Attributes:
      env: The corresponding DeepMind Lab environment.
      length: Maximum number of frames

mtrazzi

#!/bin/bash
#
# This script creates a temporary directory with the structure required by
# setuptools to build the deepmind_lab package and generates a binary
# distribution in the directory specified.
#
# This should be invoked directly and not via "bazel run" since the working
# directory has to be the root of the build tree.

set -e

mtrazzi

import deepmind_lab

class wrapper_env(object):
  """A gym-like wrapper environment for DeepMind Lab.
  Attributes:
      env: The corresponding DeepMind Lab environment.
      timestep: the number of frames/actions since the beginnning.
  Args:
      env (deepmind_lab.Lab): DeepMind Lab environment.
  """