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import Leap, sys
from Leap import KeyTapGesture

class SampleListener(Leap.Listener):
    def on_connect(self, controller):
        controller.enable_gesture(Leap.Gesture.TYPE_KEY_TAP);

    def on_frame(self, controller):
        # Get the most recent frame and report some basic information
        frame = controller.frame()

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import random
import numpy as np
import matplotlib.pyplot as plt

# ------------------------------------------------
# 
# this is the Robot class
#

class Robot(object):

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import gym
import numpy as np
from collections import deque
from gym import wrappers

# Create the Cart-Pole game environment
env = gym.make('CartPole-v0')
env = wrappers.Monitor(env, '/tmp/cartpole-experiment-1')

def relu(x):

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import gym
import numpy as np
from keras.models import Sequential
from keras.layers import Dense
from keras.optimizers import Adam
from collections import deque

# Create the Cart-Pole game environment
env = gym.make('CartPole-v0')

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import gym
import numpy as np
import gym_tic_tac_toe
import random
from math import floor
import matplotlib.pyplot as plt


env = gym.make('tic_tac_toe-v0')
n_states = 3 ** 9

tsu-nera

import ev3dev.ev3 as ev3

import random, os, time
import pickle

class QLearningAgent():
    """
    Q-Learning Agent

    Instance variables