Actualités

IEEE4 mois
Q-Learning Algorithms: A Comprehensive Classification and Applications - IEEE Xplore
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 ...
LeMagIT5 a
Machine Learning : les 9 types d’algorithmes les plus pertinents en entreprise - LeMagIT
Q-Learning. Les algorithmes de Q-Learning cherchent à trouver la meilleure méthode (une politique optimale) pour atteindre un objectif défini en cherchant à obtenir un maximum de récompenses. Ils ...
IEEE6 mois
IR-QLA: Machine Learning-Based Q-Learning Algorithm Optimization for UAVs Faster Trajectory Planning by Instructed- Reinforcement Learning
Despite numerous innovations, the critical issue of optimizing UAV trajectories in unknown environments remains largely unaddressed. This paper introduces a novel approach, the Instructed ...
Analytics India Magazine2 a
Top Reinforcement Learning Algorithms - Analytics India Magazine
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 ...
Science Daily1 a
New machine learning algorithm promises advances in computing
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.
Science Daily6 mois
New algorithm boosts multitasking in quantum machine learning
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 ...
InfoWorld1 a
The engines of AI: Machine learning algorithms explained
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.