Rustam G NonaryR

## gist:e9aaf6130ec037ac8ebca197fddd370e
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## g.py
import collections
import gym
import numpy as np
import math


class IterationAgent(object):
    def __init__(self, env, discount = 0.9, fail_reward = 0.0, living_reward = 0.0):
        self.env = env
        self.discount = discount

## softmax.ipynb

      
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                NonaryR
                / softmax.ipynb
            
            
              Created
              January 7, 2017 13:27
                — forked from awjuliani/softmax.ipynb
            
              
                A simple ipython notebook that walks through the creation of a softmax regression model using MNIST dataset.
              
          
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## match.clj
(ns ololo
  (:require [clojure.core.match :as m])

(let [x 2]
  (m/match x
           1 :1
           2 :two!
           :3))

(m/match [false true false true]
	----- Esc -----
	Quick change directory: Esc + c
	Quick change directory history: Esc + c and then Esc + h
	Quick change directory previous entry: Esc + c and then Esc + p
	Command line history: Esc + h
	Command line previous command: Esc + p
	View change: Esc + t (each time you do this shortcut a new directory view will appear)
	Print current working directory in command line: Esc + a
	Switch between background command line and MC: Ctrl + o
	Search/Go to directory in active panel: Esc + s / Ctrl + s then start typing directory name
	import collections
	import gym
	import numpy as np
	import math


	class IterationAgent(object):
	def __init__(self, env, discount = 0.9, fail_reward = 0.0, living_reward = 0.0):
	self.env = env
	self.discount = discount
	(ns ololo
	(:require [clojure.core.match :as m])

	(let [x 2]
	(m/match x
	1 :1
	2 :two!
	:3))

	(m/match [false true false true]