{"id":10435,"date":"2022-03-02T16:11:45","date_gmt":"2022-03-02T16:11:45","guid":{"rendered":"http:\/\/TheNextWeb=1381678"},"modified":"2022-03-02T16:11:45","modified_gmt":"2022-03-02T16:11:45","slug":"reinforcement-learning-how-rewards-create-intelligent-machines","status":"publish","type":"post","link":"https:\/\/www.londonchiropracter.com\/?p=10435","title":{"rendered":"Reinforcement learning: How rewards create intelligent machines"},"content":{"rendered":"\n
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In June 2021, scientists at the AI lab DeepMind made a controversial claim. The researchers suggested that we could reach artificial general intelligence (AGI) using one single approach: <\/span>reinforcement learning<\/span><\/a>. They titled their paper on the subject: \u201c<\/span>Reward is Enough<\/span><\/a>.\u201d<\/span><\/p>\n

The team argued that AGI could emerge through an incentive mechanism known as a reward function.<\/span><\/p>\n

\u201cWe hypothesize that intelligence, and its associated abilities, can be understood as subserving the maximization of reward,\u201d the study authors wrote.<\/span><\/p>\n

Their claims have been dismissed by some scientists, but they nonetheless shine a spotlight on a powerful technique.<\/span><\/p>\n

What is reinforcement learning?<\/b><\/h2>\n

In reinforcement learning (RL), a software agent learns through trial and error. When it takes a desired action, the model receives a reward.<\/span><\/p>\n

Over time, the agent works out how to execute the task to optimize its reward.<\/span><\/p>\n

The technique can be applied to a vast array of tasks, from<\/span> controlling autonomous vehicles<\/span><\/a> to<\/span> improving energy efficiency<\/span><\/a>. But its most celebrated achievements have come in the world of games.<\/span><\/p>\n

In March 2016, the technique had a landmark moment. <\/span><\/p>\n

A DeepMind system called AlphaGo became the first computer program to defeat a world champion in Go, a famously complex board game.<\/span><\/p>\n

The victory<\/span> was reportedly watched<\/span><\/a> by over 200 million people.<\/span><\/p>\n

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