yashpatel5400

"""
solving pendulum using actor-critic model
"""

import gym
import numpy as np 
from keras.models import Sequential, Model
from keras.layers import Dense, Dropout, Input
from keras.layers.merge import Add, Multiply
from keras.optimizers import Adam

yashpatel5400

import gym
import numpy as np
import random
from keras.models import Sequential
from keras.layers import Dense, Dropout
from keras.optimizers import Adam

from collections import deque

class DQN:

yashpatel5400

"""
__name__   = predict.py
__author__ = Yash Patel
__description__ = Does the prediction using the defined model and data
"""

import gym
import numpy as np

from data import gather_data

yashpatel5400

"""
__name__   = model.py
__author__ = Yash Patel
__description__ = Defines model to be trained on the Cartpole data,
predicting the directioal action to take given 4D observation state
"""

from keras.models import Sequential
from keras.layers import Dense, Dropout

yashpatel5400

"""
__name__   = data.py
__author__ = Yash Patel
__description__ = Gathers the data for the Cartpole environment into the 
X and Y numpy arrays for training
"""

import gym
import numpy as np

yashpatel5400

"""
__name__   = predict.py
__author__ = Yash Patel
__description__ = Full prediction code of OpenAI Cartpole environment using Keras
"""

import gym
import numpy as np
from keras.models import Sequential
from keras.layers import Dense, Dropout

yashpatel5400

"""
__name__   = predict.py
__author__ = Yash Patel
__description__ = Full prediction code of OpenAI Cartpole environment using Keras
"""

import gym
import numpy as np
from keras.models import Sequential
from keras.layers import Dense, Dropout