: The path planning problem is relevant for all applications in which a mobil robot should autonomously navigate. Finding the shortest path in an environment that is only partialy ...
Ulrich Roth, Marc Walker, Arne Hilmann, Heinrich K...
We consider all-optical networks with shortest-path routing that use wavelength-division multiplexing and employ wavelength conversion at specific nodes in order to maximize their...
The quick construction of the Shortest Path Tree (SPT) is essential to achieve fast routing speed for an interior network using link state protocols, such as OSPF and IS-IS. Whene...
Bin Xiao, Qingfeng Zhuge, Zili Shao, Edwin Hsing-M...
We study the shortest path problem in weighted polygonal subdivisions of the plane, with the additional constraint of an upper bound, k, on the number of links (segments) in the pa...
Ovidiu Daescu, Joseph S. B. Mitchell, Simeon C. Nt...
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...