上週一位名為Yannic Kilcher,專精於機器學習的 YouTuber ,打造並訓練一個聊天機器人, 這個機器人程式分析來自 4Chan 臭名昭著的 /pol/ (Politically Incorrect :「政治不正確」的縮寫)討論版 的三年半累積的1.345 億條充滿陰謀論、種族主義和性別歧視的中心貼文。

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Reinforcement Learning 強化學習

What’s Reinforcement Learning

Reinforcement learning (RL) is an area of machine learning, concerned with how software agents ought to take actions in an environment so as to maximize some notion of cumulative reward. The problem, due to its generality, is studied in many other disciplines, such as game theory, control theory, operations research, information theory, simulation-based optimization, multi-agent systems, swarm intelligence, statistics and genetic algorithms. In the operations research and control literature, reinforcement learning is called approximate dynamic programming, or neuro-dynamic programming. The problems of interest in reinforcement learning have also been studied in the theory of optimal control, which is concerned mostly with the existence and characterization of optimal solutions, and algorithms for their exact computation, and less with learning or approximation, particularly in the absence of a mathematical model of the environment. In economics and game theory, reinforcement learning may be used to explain how equilibrium may arise under bounded rationality.

Source: Wikipedia

In machine learning, the environment is typically formulated as a Markov Decision Process (MDP).