Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Abstract-- This work deals with devising a secure, powerefficient, beam-steerable and on-chip transmission system for wireless sensor networks. A passively controllable smart (PCS)...
Javad Lavaei, Aydin Babakhani, Ali Hajimiri, John ...
We consider the problem of broadcasting a large message in a large scale distributed platform. The message must be sent from a source node, with the help of the receiving peers whi...
This paper is focused on how a general-purpose hierarchical planning representation, based on the HTN paradigm, can be used to support the representation of oncology treatment pro...
This paper studies the problem of energy conservation of mobile terminals in a multi-cell TDMA network supporting real-time sessions. The corresponding optimization problem involv...
Liqun Fu, Hongseok Kim, Jianwei Huang, Soung Chang...