While everyone recognizes that e-commerce giant Amazon ($AMZN) is a powerhouse enterprise, it’s also fair to point out that ...

ABSTRACT: Developing reliable weather prediction systems is still a challenging task due to the complexity of the Earth System and the chaotic behavior of its components. Small errors introduced by ...

Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...

Abstract: For on-policy reinforcement learning (RL), discretizing action space for continuous control can easily express multiple modes and is straightforward to optimize. However, without considering ...

Probability distribution is an essential concept in statistics, helping us understand the likelihood of different outcomes in a random experiment. Whether you’re a student, researcher, or professional ...

ABSTRACT: A novel motor learning method is present based on the cooperation of the cerebellum and basal ganglia for the behavior learning of agent. The motor learning method derives from the principle ...