In 2005, Richard Sutton and Andrew Barto co-published
Posted: Thu Feb 06, 2025 3:17 am
Reinforcement Learning: An Introduction", a classic book in the field of reinforcement learning. The book systematically introduces the basic principles, algorithms and applications of reinforcement learning and is known as the "Bible" in the field of reinforcement learning. The publication of "Reinforcement Learning: An Introduction" has promoted the development and application of the field of reinforcement learning and also provided a solid theoretical foundation for the emergence of deep reinforcement learning.
Another important breakthrough in the application of reinforcement learning was the defeat of the champion of the Jeopardy! show by IBM's Watson computer system in 2007, which marked a significant progress lithuania mobile database in the application of reinforcement learning technology in areas such as question answering and natural language processing. With the continuous development of technologies such as deep learning and reinforcement learning, artificial intelligence has gradually been applied to more fields, bringing great changes to human production and life.
2010s: Explosive Growth of Deep Learning
AlexNet’s major breakthrough on ImageNet
In the 2010s, deep learning technology began to experience explosive growth, constantly refreshing the development of artificial intelligence. In the 2012 ImageNet Large Scale Visual Recognition Challenge, a convolutional neural network called AlexNet participated for the first time and achieved great success.
Another important breakthrough in the application of reinforcement learning was the defeat of the champion of the Jeopardy! show by IBM's Watson computer system in 2007, which marked a significant progress lithuania mobile database in the application of reinforcement learning technology in areas such as question answering and natural language processing. With the continuous development of technologies such as deep learning and reinforcement learning, artificial intelligence has gradually been applied to more fields, bringing great changes to human production and life.
2010s: Explosive Growth of Deep Learning
AlexNet’s major breakthrough on ImageNet
In the 2010s, deep learning technology began to experience explosive growth, constantly refreshing the development of artificial intelligence. In the 2012 ImageNet Large Scale Visual Recognition Challenge, a convolutional neural network called AlexNet participated for the first time and achieved great success.