Abstract: The challenge of imbalanced data classification stems from the uneven distribution of data across classes, which is a formidable obstacle for traditional classifiers. Although numerous ...

Abstract: Finding the time-optimal parameterization of a given path subject to kinodynamic constraints is an essential component in many robotic theories and applications. The objective of this paper ...

Machine learning continues to shape AI, automation, and data-driven decision-making. While online courses offer hands-on practice, books provide the deeper understanding needed to master core concepts ...

The algorithm consists of two networks, an Actor and a Critic network, which approximate the policy and value functions of a reinforcement learning problem. The name DDPG, or Deep Deterministic Policy ...