Reinforcement Learning Pioneers win Turing Prize

In the 1980s Andrew barto and Rich Sutton Eccultious believers were elegant, but as a result, cars with convicted ideas, like people and animals, learned more than experience.

With decades, now with the technique of increasingly critical for modern artificial intelligence and programs like ChatgptBarto and Sutton were awarded the Turing Prize in the field of computer science.

Barto, Professor of Professor Emeritus and Alberta University at Amherst University at the University of Massachusetts, a technician, known as strengthening learning, includes a computer coding of a computer Experience is combined with either positive or negative feedback.

“When this work started for me, it was extremely uncharged,” said Barto remembers a smile talking to the house in Massachusetts. “It seemed that (this) has reached a little effect and some attention,” said Barto.

The study of reinforcement was perhaps most famous Google is used by Deepmind to build al-albogam in 2016Going to a specialist level is an incredibly complex and an application that learns to play a subtle board game. This demonstration was a new interest in the equipment to be used in advertising, Optimizing the energy use of the data centerfinance and chip design. The approach also has a long history RoboticsTo learn to perform physical tasks through judgment and error where they can help cars.

Recently, the learning of strengthening is very important to prepare and produce extraordinary challess models of large language models (LLS). The same method is also used to train AI models Imitate the thought of manand to set up More skilled EU agents.

The methods used to guide Sutton notes, LLMs cover people who provide more goals than an algorithm with their exploration. He says that the cars can be more productive as a result of fully self-learning. “The Great Section (AI) can learn from people or learn from their experience,” he says.

Barto and Sutton’s work “was a lynchpin a linchpin in the last few decades” Jeff DeanGreat vice president of Google, said in a released statement Unity for computing machines (ACM) seizes the Turing Prize. “The means of developing the AI ​​boom remains the central column of the boom and made great progress.”

The armature has a long and checkered history inside AI. In the field of the field, when was there Alan Turing The famous 1950s of cars suggested that he could learn through experience and comments “Computing machines and intelligence“Investigating the concept of a machine thinking like a human being as a person. Artur Samuel learned to strengthen using the first machine to build one of the first machine learning programs, A system capable of playing checkersIn 1955.