Chapter 9: On-policy Prediction with Approximation From this chapter, we move from tabu...
Chapter 9: On-policy Prediction with Approximation From this chapter, we move from tabu...
Chapter 7: n-step Bootstrapping n-step TD methods span a spectrum with MC methods at on...
Chapter 6: Temporal-Difference Learning Temporal-difference (TD) learning is a combinat...
Chapter 5: Monte Carlo Methods Monte Carlo (MC) methods are learning methods for estima...
Chapter 4: Dynamic Programming Dynamic programming computes optimal policies given a pe...
Chapter 3: Finite Markov Decision Processes Basic Definitions MDP is the most basic for...
Chapter 2: Multi-armed Bandits Multi-armed bandits can be seen as the simplest form of ...
Pointer Networks Oriol Vinyals, Meire Fortunato, Navdeep JaitlyGoogle, BerkeleyNIPS 201...
Neural Computation of Decisions in Optimization Problems J. J. Hopfield, D. W. TankBiol...
Attention, Learn to Solve Routing Problems Wouter Kool, Herke van Hoof, Max WellingUniv...
Machine Learning for Combinatorial Optimization 1 Introduction 1.1 Background Operation...
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...
作者: Christopher Olah (OpenAI)譯者:朱小虎 Xiaohu (Neil) Zhu(CSAGI / University AI)原文鏈接:https:...