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deepmind about the DQN mixed story http://tech.ifeng.com/a/20171010/44710270_0.shtmlTake a picture, everybody, look.The horizontal axis is the number of training times, the longitudinal axes are more than the human level percentage, 100% is equal to the average human playing game level, in the 57 Atari games average performance.So much to talk about today, and then I will continue to add a summary of the algorithm, thank you for reading!Gans: Generat

the algorithm to AI clearance in a variety of small games in the Atari game console.The core of its basic algorithm is the CNN we introduced before and the q-learning of enhanced learning, the basic flow of game intelligent customs clearance, such as:Use CNN to identify the state of the game's total Mario and use the enhanced learning algorithm to make the action selection, then calculate the reward function based on the new return state and the hist

, you need to go back to the 70 's. Interestingly, the prototype design with the rapid development of computer technology, but also the high density of the iterative upgrade, and then I will list the development of the information age of the big events, they are also a major impact on the prototype design milestones. 1970--Waterfall model becomes the mainstream in software development field The importance of 1975--information architecture was recognized and began to develop 1980--as a result

take on a task. We introduce feudal Networks (funs): A novel architecture for hierarchical reinforcement. Our approach are inspired by the feudal reinforcement learning proposal of Dayan and Hinton, and gains power and efficacy B Y decoupling End-to-end learning across multiple levels allowing it to utilise different of. Our framework employs a Manager module and a Worker module. The Manager operates at a lower temporal resolution and sets abstract goals which are conveyed to and enacted by the

do not know, looks from the screen size, user operation and other aspects, hand tour is not so organic will become a real mainstream game equipment. 2013: Whether the hand tour is the next wave For the development of technology, practitioners should always keep their attention, and when the outbreak node arrives, the team is going to make a quick decision. October 2012, the team began to assume that at least the next five years, mobile phones will become a very important platform for the gam

design time.Subtitlecreator allows you to create subtitles for your DVDs. It has advanced sync features, DVD previews, and a simple WYSIWYG (WYSIWYG) editor. Of course, you can also modify the positioning and color of subtitles on existing DVDs.Paint.NET is an excellent open source image editor written in C # under Windows.MediaPortal is trying to help you turn your computer into an advanced multi-media center/htpc. It allows you to listen to your favorite music amp; radio, watch your videos an

system), Windows NT fat, os/2 fat, Atari The parameter options for gzip are as follows: -C: The compressed data output will be screen (do not generate a compressed file). -D: uncompress file- f: Force overwrite existing file- K: Keep source file (default is not retained)- t: Test the integrity of the compressed file (used with the-v option)- R: Recursive compression of all files- V: Verbose output execution process (default does not output)

messages using gzip). XFL (extraflags): This field is dedicated to the gzip file used in the compression method, because the current gzip only use a compression method, or compression algorithm, that is, deflate, so for deflate, the field has the following meanings, Xfl= to the compression rate of the largest but the slowest compression (the compression level); Xfl= 4– the fastest compression (level); (Note: Deflate is divided into 0~9 compression level, the subsequent analysis of the compresse

proximal Policy optimization algorithms John schulman, Filip wolski, prafulla dhariwal, Alec radford, Oleg Klimov (Submitted on 20 We propose a new family of policy gradient methods for reinforcement learning, which alternate between sampling data t Hrough interaction with the environment, and optimizing a "surrogate" objective function using stochastic gradient ascent. Whereas standard policy gradient methods perform one gradient update per data sample, we propose a novel objective functi On

up of fixed-length vectors. In the conclusion section of that article, I promised to write an article explaining the basics of convolutional networks and introducing the long-term memory (LSTM) model. First, introduce the basic knowledge of neural network. A neural network can be expressed as a graph of an artificial neuron, or a node and a forward edge, used to model synaptic. Each neuron is a processing unit that will connect the output of its nodes as input. Before the output is emitted, e

PL/SQL Developer Import and Export database method and illustrate how well does you KNOW the APPLE UNIVERSE?In, Apple became the first company worth how much?Which religion did Steve Jobs practice?What is one of the Apple protects its secrecy?In 1981, "Woz" is in a plane crash and suffered which effect?Why does Steve Jobs leave his job designing video games at Atari?Who is Apple's second biggest, after the states?What is Tim Cook ' s position before h