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kinds of people, and then now this thing began to become hot, do not know will be like Google glasses. As for the development of DRL, let's look at how those individuals shout!Second,Scientific Review
First to the Chinese, this analysis DRL more objective, the recommended index of 3 stars http://www.infoq.com/cn/articles/atari-reinforcement-learning. But in fact, it is only said a fur, reall
nature up. Anyway, I knew it was stunned, Ai people began to rave, all kinds of people, and then now this thing began to become hot, do not know will be like Google glasses. As for the development of DRL, let's look at how those individuals shout!Second,Scientific Review
First to the Chinese, this analysis DRL more objective, the recommended index of 3 stars http://www.infoq.com/cn/articles/atari-reinforcement-
algorithms using Python,openai Gymand. I separated them into chapters (with brief summaries) and exercises, and solutions so, can use them to supplement T He theoretical material above.all of the ' is ' in the Github repository.
Some of the more time-intensive algorithms are still work and progress. I ' ll update this post as I implement them. Table of Contents Introduction to RL problems, OpenAI gym MDPs and Bellman equations Dynamic programming:mo
algorithms using Python,openai Gymand. I separated them into chapters (with brief summaries) and exercises, and solutions so, can use them to supplement T He theoretical material above.all of the ' is ' in the Github repository.
Some of the more time-intensive algorithms are still work and progress. I ' ll update this post as I implement them. Table of Contents Introduction to RL problems, OpenAI gym MDPs and Bellman equations Dynamic programming:mo
technology. 5 (3), 2014[3] Jerry lead http://www.cnblogs.com/jerrylead/[3] Big data-massive data mining and distributed processing on the internet Anand Rajaraman,jeffrey David Ullman, Wang Bin[4] UFLDL Tutorial http://deeplearning.stanford.edu/wiki/index.php/UFLDL_Tutorial[5] Spark Mllib's naive Bayesian classification algorithm http://selfup.cn/683.html[6] mllib-dimensionality Reduction http://spark.apache.org/docs/latest/mllib-dimensionality-reduc
valuable resource for students wanting to go beyond the older textbooks and for Resea Rchers wanting to easily catch up with recent developments ". * Optimal Adaptive Control and differential games by reinforcement learning Principles:draguna Vrabie, Kyriakos G. Va Mvoudakis, Frank L. Lewis. I am not familiar with this one, but I have seen it recommended. * Markov decision Processes in Artificial Int
1 Preface
Deep reinforcement learning can be said to be the most advanced research direction in the field of depth learning, the goal of which is to make the robot have the ability of decision-making and motion control. The machine flexibility that human beings create is far lower than some low-level organisms, such as bees. DRL is to do this, but the key is to
Add c:\python27 to environment variable pathpython- C command [arg ]...,python- m module [arg] ...,Parameter passing: The argv variable in the sys module>>>//Interactive modeIt's not customary to use indentation to represent a block of statements.if The_world_is_flat: ... Print " Be careful not to fall off! " not to fall off!The indentation before the print statement is not minimalPython 2.7.8 Learning
programs. At this time, the systematic consideration of the idea is a good choice. The basic Python tutorial has a lot of examples behind this book, and it's a good time to write those examples.
In addition, there must be a large number of nouns at the beginning to understand. Encounter do not understand the noun as far as possible on the Internet to check, to know the question can also. Do not accumulate
This set of Python learning roadmap for everyone, follow this tutorial step by step learning, will certainly have a deeper understanding of Python. Maybe you can enjoy python 's easy-to-learn, streamlined, open-source language. T
A machine learning tutorial using Python to implement Bayesian classifier from scratch, python bayesian
The naive Bayes algorithm is simple and efficient. It is one of the first methods to deal with classification issues.
In this tutorial, you will learn the principles of th
the global start-up fi Le using code like if os.path.isfile ('. pythonrc.py '): execfile ('. pythonrc.py '). If you want to use the "startup file in a" script, you must does this explicitly in the script:OSos. Environ. Get(' Pythonstartup ')os. Path. Isfile(filenameexecfile(filename) 2.2.5. The Customization ModulesPython provides-hooks to let you customize it: sitecustomize and usercustomize. To see how it works, you need first-to-find the location of your user site-packages director
...)3.1.4. ListsThe sequence as one of the basic Python formats is fantastic. Here are some simple examples of how to use the list.Defining a sequence that looks a bit complicated is actually not complicated.LST = [0, 1, 2, 3, 4, 5, ' A ', ' B ', [8, 888], ' 9 ', {' 10 ': 10, 10:100}]LST[1] # 11 integersLST[8] # [8, 888] a sequenceLST[9] # ' 9 ' a stringLST[10] # {' 10 ': 10, 10:100} A dictionaryIt seems to be very flexible, it is so capricious.Slice
Python learning-Python short tutorialPreface
This tutorial combines Stanford CS231N and UC Berkerley CS188 Python tutorials.The tutorial is short, but it is suitable for children's shoes who have learned other languages based on c
: Let the adorner with class parameters
Nineth Step: Adorner with class parameters, and split the public class into other py files, but also demonstrates the application of a function of multiple adorners
#-*-CODING:GBK-*-' mylocker.py: public class for example 9.py ' class Mylocker:def __init__ (self):p rint ("mylocker.__init__ () Called. ") @staticmethoddef acquire ():p rint ("Mylocker.acquire () called.") @staticmethoddef unlock ():p rint ("Mylocker.unlock () called.") Class Lockerex (Myloc
function to define a inner () function, in the inner function, first execute a print (' Hello '), In the execution of the F1 function to assign the return value to R, the next output time and end, and finally return the last return of the R,inner function inner function, when we execute the F1 function, it is equivalent to execute the inner function, and can get the F1 function return value.Passing parameters using adornersIn the adorner used above, the passed function has no parameters, when t
, after the completion, the following conditions 2, 3 will not be executed, but directly end the entire if statement if the condition 1 is not satisfied, Then to determine whether the condition 2 is satisfied, if the condition 2 is satisfied, then the execution condition 2 is fulfilled when the code executes, and then ends the entire if statement if the condition 1, 2 is not satisfied, then the condition 3, if the condition 3 is satisfied, then the execution condition 3 is fulfilled, then the en
#列表可修改, the Yuan Zu cannota=['sdsd',]b=['SDS',]c=[a,b]#分片 :-#list函数#分片赋值#列表方法Lst.append (4) X.count (1) x.count ([up]) A.extend (b) a.index ("w" ) A.insert (3, "all")X.removeX.reverseX.sort#pop removes the list element and returns a value. Implementation data structure-stack, LIFO (LIFO), X.append (X.pop ()), FIFO, X.insert (X.pop (0)#sortX.sort (Key=len)y=sorted (x)#y元祖No list-like methods(a)#tuple函数# become a meta-ancestorPython Basic Learning Note
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