sunskyhsh

def qlearning(env, policy, num_iter1, alpha, gamma):
    actions = policy.actions
    for i in xrange(len(policy.theta)):
        policy.theta[i] = 0.1

    for iter1 in xrange(num_iter1):
        s_f       = env.reset()
        a         = policy.epsilon_greedy(s_f)
        count     = 0
        t         = False

sunskyhsh

# coding: utf-8
#
# This is a solution to
# 	https://chyyuu.gitbooks.io/os_course_exercises/content/all/04-1-spoc-discussion.html#虚拟页式存储的地址转换
#
# Author: github.com/sunskyhsh

import sys

def translate(va, pd):

sunskyhsh

#! /usr/bin/env python
# author: github.com/sunskyhsh

import sys
from optparse import OptionParser
import random

# process states
STATE_RUNNING = 'RUNNING'
STATE_READY = 'READY'