Search Results for "q learning algorithm"

The shortest path problem is solved by many methods. Heuristics offer lower complexity in expense of accuracy. There are many use cases where the lower accuracy is acceptable in return of lower consumption of computing resources. Learning Automata (LA) are adaptive mechanisms requiring feedback from the executing environment to converge to certain states. In the context of network routing, LA residing at intermediate nodes along a path, exploit feedback from the destination node for...

NiceShaper is the program developed for Linux router environment. It works in user space on top of standard Linux QOS implementation and iptables. By default, a proven HTB algorithm is used for the root, inner, and leaf classes, SFQ packets scheduling algorithm is the default queuing discipline (qdisc) contained within each of leaf classes, U32 and FW are used as the packets classifiers. NiceShaper provides dynamic traffic shaping approach which is more effective than traditional shaping...

AHANNS enables the user to create and train artificial neural networks. Training is carried out by an implementation of back propagation learning algorithm. See the documentation for details. This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. ...

a distributed engine for abstract neural network development via natural-language programming