Chapter 9: On-policy Prediction with Approximation From this chapter, we move from tabu...
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Chapter 9
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Chapter 7Chapter 7: n-step Bootstrapping n-step TD methods span a spectrum with MC methods at on...
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Chapter 6
Chapter 6: Temporal-Difference Learning Temporal-difference (TD) learning is a combinat...
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Chapter 5Chapter 5: Monte Carlo Methods Monte Carlo (MC) methods are learning methods for estima...
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Chapter 4
Chapter 4: Dynamic Programming Dynamic programming computes optimal policies given a pe...
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Chapter 3
Chapter 3: Finite Markov Decision Processes Basic Definitions MDP is the most basic for...
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Chapter 2
Chapter 2: Multi-armed Bandits Multi-armed bandits can be seen as the simplest form of ...
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Pointer Networks
Pointer Networks Oriol Vinyals, Meire Fortunato, Navdeep JaitlyGoogle, BerkeleyNIPS 201...
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Neural Computation of Decisions in Optimization ProblemsNeural Computation of Decisions in Optimization Problems J. J. Hopfield, D. W. TankBiol...
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Attention, Learn to Solve Routing ProblemsAttention, Learn to Solve Routing Problems Wouter Kool, Herke van Hoof, Max WellingUniv...
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Machine Learning for Combinatorial Optimization
Machine Learning for Combinatorial Optimization 1 Introduction 1.1 Background Operation...
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我们究竟需要怎样的人工智能
几天前，特斯拉的自动驾驶汽车出事了，车主身亡。 最近，人工智能很火，无人驾驶很火，从互联网巨头到传统车企都在搞无人车。但是另一方面，许多真正工作在自动驾驶技术研发一线的研究人...
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朱小虎 Neil Zhu，University AI / CSAGI 创始人
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理解 LSTM 网络作者： Christopher Olah （OpenAI）译者：朱小虎 Xiaohu (Neil) Zhu（CSAGI / University AI）原文链接：https:...
