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  • Chapter 9

    Chapter 9: On-policy Prediction with Approximation From this chapter, we move from tabu...

  • 120
    Chapter 7

    Chapter 7: n-step Bootstrapping n-step TD methods span a spectrum with MC methods at on...

  • Chapter 6

    Chapter 6: Temporal-Difference Learning Temporal-difference (TD) learning is a combinat...

  • 120
    Chapter 5

    Chapter 5: Monte Carlo Methods Monte Carlo (MC) methods are learning methods for estima...

  • Chapter 4

    Chapter 4: Dynamic Programming Dynamic programming computes optimal policies given a pe...

  • Chapter 3

    Chapter 3: Finite Markov Decision Processes Basic Definitions MDP is the most basic for...

  • Chapter 2

    Chapter 2: Multi-armed Bandits Multi-armed bandits can be seen as the simplest form of ...

  • Pointer Networks

    Pointer Networks Oriol Vinyals, Meire Fortunato, Navdeep JaitlyGoogle, BerkeleyNIPS 201...

  • 120
    Neural Computation of Decisions in Optimization Problems

    Neural Computation of Decisions in Optimization Problems J. J. Hopfield, D. W. TankBiol...

  • 120
    Attention, Learn to Solve Routing Problems

    Attention, Learn to Solve Routing Problems Wouter Kool, Herke van Hoof, Max WellingUniv...

  • Machine Learning for Combinatorial Optimization

    Machine Learning for Combinatorial Optimization 1 Introduction 1.1 Background Operation...

  • 我們究竟需要怎樣的人工智能

    幾天前捷绑,特斯拉的自動(dòng)駕駛汽車出事了韩脑,車主身亡。 最近粹污,人工智能很火段多,無(wú)人駕駛很火,從互聯(lián)網(wǎng)巨頭到傳統(tǒng)車企都在搞無(wú)人車壮吩。但是另一方面进苍,許多真正工作在自動(dòng)駕駛技術(shù)研發(fā)一線的研究人...

  • 120
    理解 LSTM 網(wǎng)絡(luò)

    作者: Christopher Olah (OpenAI)譯者:朱小虎 Xiaohu (Neil) Zhu(CSAGI / University AI)原文鏈接:https:...

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