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""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """ | |
import numpy as np | |
import cPickle as pickle | |
import gym | |
# hyperparameters | |
H = 200 # number of hidden layer neurons | |
batch_size = 10 # every how many episodes to do a param update? | |
learning_rate = 1e-4 | |
gamma = 0.99 # discount factor for reward |
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# (C) Kyle Kastner, June 2014 | |
# License: BSD 3 clause | |
import scipy.stats as st | |
import numpy as np | |
class gmmhmm: | |
#This class converted with modifications from https://code.google.com/p/hmm-speech-recognition/source/browse/Word.m | |
def __init__(self, n_states): | |
self.n_states = n_states |