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 ...

Making a class schedule is one of those NP hard problems. The problem can be solved using a heuristic search algorithm to find the optimal solution, but it only works for simple cases. For more ...

Advanced Learning Algorithms: This course covers the theory and practice of advanced learning algorithms, such as deep learning, reinforcement learning, and online learning. You will learn how to ...

1 Transportation Engineering College, Dalian Maritime University, Dalian, China. 2 School of Maritime Economics and Management, Dalian Maritime University, Dalian, China. With the development of the ...

In response to the shortcomings of the Salp Swarm Algorithm (SSA) such as low convergence accuracy and slow convergence speed, a Multi-Strategy-Driven Salp Swarm Algorithm (MSD-SSA) was proposed.

This code is belonging to the NeurIPS 2022 paper Structural kernel search via Bayesian Optimization and Symbolical Optimal Tranport. The repo can be used to import and run our algorithm (see example) ...