The Mobile Internet scenario encourages the design and development of context-aware applications that provide results depending on context information, such as the relative positi...
Antonio Corradi, Rebecca Montanari, Alessandra Ton...
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
An evolutionary reinforcement-learning algorithm, the operation of which was not associated with an optimality condition, was instantiated in an artificial organism. The algorithm ...
Computer simulation is the most common approach to studying wireless ad-hoc routing algorithms. The results, however, are only as good as the models the simulation uses. One shoul...
Jason Liu, Yougu Yuan, David M. Nicol, Robert S. G...
The recent trend in the Internet traffic is increasing in requests for dynamic and personalized content. To efficiently serve this trend, several serverside and cache-side fragme...