Like with movies, I don’t have one favorite machine learning (ML) algorithm, but a few favorites, each for its own reason. Here are some of my top few algorithms and models: Most elegant: The ...

New machine learning algorithm promises advances in computing. ScienceDaily. Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2024 / 05 / 240509155536.htm. Ohio State University.

Tohoku University. (2024, December 10). New algorithm boosts multitasking in quantum machine learning. ScienceDaily. Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2024 / 12 ...

Reinforcement learning (RL) is a branch of machine learning that addresses problems where there is no explicit training data. Q-learning is an algorithm that can be used to solve some types of RL ...

Q-learning is arguably one of the most applied representative reinforcement learning approaches and one of the off-policy strategies. Since the emergence of Q-learning, many studies have described its ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

shenzhen, May 20, 2025 (GLOBE NEWSWIRE) -- Shenzhen, May. 20, 2025/––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced that quantum algorithms will be deeply integrated ...

SARSA, or State Action Reward State Action, is similar to Q-Learning but the key difference is that it is an on-policy algorithm, and is often denoted as the ‘on-policy Q-learning’. This implies that ...

Despite numerous innovations, the critical issue of optimizing UAV trajectories in unknown environments remains largely unaddressed. This paper introduces a novel approach, the Instructed ...