The approach, known as "human-in-the-loop optimization" (HILO), explores the potential of combining individual patient data with machine learning algorithms as a way to fine-tune robotic design ...

Two things control the application of corrections: the optimization algorithm, and the learning rate variable, which usually needs to be small to guarantee convergence and avoid causing dead ReLU ...

thanks to the reinforcement learning methods of their OpenAI Baselines. Now, a new algorithm lets their AI learn from its own mistakes, almost as human beings do. The development comes from a new ...

Evolutionary optimization (EO) is a type of genetic algorithm that can help minimize the error between computed output values and training data target output values ...

Researchers at Ben-Gurion University of the Negev have developed a machine-learning algorithm that could enhance our understanding of human biology and disease. The new method, Weighted Graph ...

A deep reinforcement learning ... algorithm also works on other combinatorial games such as the sliding tile puzzle, Lights Out and Sokoban. "Artificial intelligence can defeat the world's best ...