This paper describes a method for hierarchical reinforcement learning in which high-level policies automatically discover subgoals, and low-level policies learn to specialize for ...
Abstract-- We consider a wireless sensor network consisting of a set of sensors deployed randomly. A point in the monitored area is covered if it is within the sensing range of a s...
Shuhui Yang, Fei Dai, Mihaela Cardei, Jie Wu, Floy...
A new architecture and method for feature selection and extraction of logical rules from neural networks trained with backpropagation algorithm is presented. The network consists ...
Wlodzislaw Duch, Rafal Adamczak, Krzysztof Grabcze...
Valid inequalities for 0-1 knapsack polytopes often prove useful when tackling hard 0-1 Linear Programming problems. To generate such inequalities, one needs separation algorithms...
Prototyping future Internet technologies is an important but complicated task, mainly caused by incompatibilities to existing systems and high implementation complexity. To reduce ...
Thorsten Biermann, Christian Dannewitz, Holger Kar...