An experimental study shows that already small-scale quantum computers can boost the performance of machine learning algorithms.

John Smoltz had high hopes for what the Pirates could do with Paul Skenes. Now, he's not so sure a trade is off the table.

Abstract: Q-learning and double Q-learning are well-known sample-based, off-policy reinforcement learning algorithms. However, Q-learning suffers from overestimation bias, while double Q-learning ...

A hybrid intelligent algorithm integrating Q-learning is innovatively designed, using a genetic algorithm as the main framework while embedding a quay crane allocation module and dynamically selecting ...

Elephant Learning recognizes the vast potential of adaptive algorithms such as artificial intelligence (AI), as they have revolutionized various industries.

College of Electrical Engineering, Anhui Polytechnic University, Wuhu, China Aiming at the problems of slow network convergence, poor reward convergence stability, and low path planning efficiency of ...

The library sorting problem is used across computer science for organizing far more than just books. A new solution is less than a page-width away from the theoretical ideal. Computer scientists often ...