Reinforcement learning algorithms help AI reach goals by rewarding desirable actions. Real-world applications, like healthcare, can benefit from reinforcement learning's adaptability. Initial setup ...

An artificial-intelligence algorithm that discovers its own way to learn achieves state-of-the-art performance, including on some tasks it had never encountered before. Joel Lehman is at Lila Sciences ...

Many of our current artificial intelligence (AI) systems are largely based on machine learning algorithms and deep neural networks, and are able to perform tasks like human beings would. In some cases ...

A new publication from Opto-Electronic Science; DOI 10.29026/oes.2023.220019 considers chiral Detection of Biomolecules Based on Reinforcement Learning. As one of basic physical properties, chirality ...

In 1951, Marvin Minsky, then a student at Harvard, borrowed observations from animal behavior to try to design an intelligent machine. Drawing on ideas from the work of physiologist Ivan Pavlov, who ...

A deep reinforcement learning algorithm can solve the Rubik's Cube puzzle in a fraction of a second. The work is a step toward making AI systems that can think, reason, plan and make decisions. Since ...

While artificial intelligence is advancing at a rapid rate, the learning resources for artificial intelligence are also increasing at an equally rapid rate. Apart from online tutorials and learning ...