EvanH0923 xiyuanHou

## pg-pong.py
""" 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

## gist:69c1f0603ad297c6b133

      
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                xiyuanHou
                / gist:69c1f0603ad297c6b133
            
            
              Created
              January 11, 2016 04:16
            
              
                Sublime Text 2 - Useful Shortcuts
              
          
    Sublime Text 2 – Useful Shortcuts (PC)

Loosely ordered with the commands I use most towards the top. Sublime also offer full documentation.
Editing


		 Ctrl+C 
		 copy current line (if no selection) 
	
	
		 Ctrl+X 
		 cut current line (if no selection) 
	
	
		 Ctrl+⇧+K
		 delete line 
	
	
		 Ctrl+↩ 
		 insert line after 
	

## 00README.rst

      
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                xiyuanHou
                / 00README.rst
            
            
              Created
              October 14, 2015 10:40
                — forked from GaelVaroquaux/00README.rst
            
              
                Copy-less bindings of C-generated arrays with Cython
              
          
    Cython example of exposing C-computed arrays in Python without data copies

The goal of this example is to show how an existing C codebase for
numerical computing (here c_code.c) can be wrapped in Cython to be
exposed in Python.
The meat of the example is that the data is allocated in C, but exposed
in Python without a copy using the PyArray_SimpleNewFromData numpy


## StanfordCoreNLPSentimentDemo.java
/*
working with
 javax.json.jar
 joda-time.jar
 jollyday.jar
 stanford-corenlp-3.5.1-models.jar
 stanford-corenlp-3.5.1.jar
 ejml-0.23.jar
 in build path
 */
	""" 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
Ctrl+C	copy current line (if no selection)
Ctrl+X	cut current line (if no selection)
Ctrl+⇧+K	delete line
Ctrl+↩	insert line after
	/*
	working with
	javax.json.jar
	joda-time.jar
	jollyday.jar
	stanford-corenlp-3.5.1-models.jar
	stanford-corenlp-3.5.1.jar
	ejml-0.23.jar
	in build path
	*/