なにをやっているのか
Mastering the game of Go with deep neural networks and tree search David Silver1*, Aja Huang1*, Chris J. Maddison1, Arthur Guez1, Laurent Sifre1, George van den Driessche1, Julian Schrittwieser1, Ioannis Antonoglou1, Veda Panneershelvam1, Marc Lanctot1, Sander Dieleman1, Dominik Grewe1, John Nham2, Nal Kalchbrenner1, Ilya Sutskever2, Timothy Lillicrap1, Madeleine Leach1, Koray Kavukcuoglu1, Thore Graepel1 & Demis Hassabis1
All games of perfect information have an optimal value function, v*(s), which determines the outcome of the game, from every board position or state s, under perfect play by all players. These games may be solved by recursively computing the optimal value function in a search tree containing approximately bd possible sequences of moves, where b is the game’s breadth (number of legal moves per position) and d is its depth (game length). In large games, such as chess (b ≈ 35, d ≈ 80)1 and especially Go (b ≈ 250, d ≈ 150)1, exhaustive search is infeasible2,3, but the effective search space can be reduced by two general principles. First, the depth of the search may be reduced by position evaluation: truncating the search tree at state s and replacing the subtree below s by an approximate value function v(s) ≈ v*(s) that predicts the outcome from state s. This approach has led to superhuman performance in chess4, checkers5 and othello6, but it was believed to be intractable in Go due to the complexity of the game7. Second, the breadth of the search may be reduced by sampling actions from a policy p(a|s) that is a probability distribution over possible moves a in position s. For example, Monte Carlo rollouts8 search to maximum depth without branching at all, by sampling long sequences of actions for both players from a policy p. Averaging over such rollouts can provide an effective position evaluation, achieving superhuman performance in backgammon8 and Scrabble9, and weak amateur level play in
なぜやるのか
RP (SAP, Oracle ,Dynamics, Salesforce )Consultant , Cloud (AWS,Azure,GCP), Blockchain, Artificial intelligence (AI), machine learning (ML) and depth learning (DL) natural language processing NLP, image processing / image recognition / Generation, Speech Recognition · Composition, Prediction, Big Data Analysis
RACE: Asian - China|Female|48 Years old (1970/03/05) |Married |work Experience 25 Years |Nationality |China and the United States
Yuhonghong
5770831, 4-9-35 Shundekicho, Higashi Osaka, Osaka Prefecture, Japan
E-Mail: yuhong268@gmail.com, yuhong268@aol.com Mobile: (81)09087479395
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Current Job Current Annual Income
Position: Technical Director/Manager Yearly Salary: JPY57,851,239CNY￥350 x10 K (Including basic salary,subsidy,bonus,ROE,etc)
Company NTTDATA Japan Basic Salary: JPY49,586,776 CNY ￥300x10K
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Minimum bonus:JPY6,611,570 CNY ￥40x10K
Industry: Computers,Software Target Salary: JPY4,132,231CNY￥>250,000 Month
http://www.nttdata.com/jp/ja/insights/foresight/index.html 10000Employees First Class Company Job Type: Full-time (Employee)
Core Technology 25 years Work Experience (1999/01 ~Present)
ERP consulting, Cloud technology, Big data, Blockchain, Artificial Intelligence expert((CTO)
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Target Salary: JPY4,132,231 CNY￥>250,000 Month
Function/Position: IT Manager/Supervisor Technical Director/Manager Project Manager/Supervisor
どうやっているのか
囲碁
1980-07 - 2019-04コンピューター囲碁競争AlphaGo中国コンピューター囲碁科学者チームがGoogleに挑戦AlphaGo、AlphaGoコンピュータ囲碁研究の結果は、認知科学、パターン認識、機械学習といったその他の同様の分野に応用されているhttps://deepmind.com/research/alphago/
中国囲碁 囲碁上手围棋人机大战 计算机围棋大赛AlphaGo中国计算机围棋科学家团队挑战谷歌
By working in startups as well as new establishments in large corporations, I have acquired all-rounded experiences across software development, UI/UX design, business and marketing, and creating new processes and culture. I love software development , programming , coding . I have huge interest in AI , Deep Learning , Machine Learning & Robotics . I am a frank & friendly guy . My hobbies are watching tv , free debate , playing football , cricket & table tennis , photography , rear up animals & roaming .
I have more than 15 years of experience in full-stack development and C++, including Olympiad contests, internships, GPU research programming, open source contributions, and coursework. I am consistently motivated to take extra steps in improving myself and contributing to the organizations I belong to. I am also an active contributor to open source projects, including the leading graphics software Blender.
Blockchain Engineer - Remote
Developed blockchain wallet & recover wallet using Java bitcoinj library .
Worked on Trust Wallet Android App.
Web Engineer Full Time - remote
Worked on receptionist app.
Full Stack Software Engineer (Remote)
Software Engineer
Daily work includes designing and writing standard API & specification,analysis new requirements and specification , reviewing source code , developing new features , fixing bug. Experienced with multi server deployment.
Highlighted Skills and Qualifications
• Data Analysis and Visualization (R, Python, SQL)
