In this paper, we investigate the use of reinforcement learning (RL) techniques to the problem of determining dynamic prices in an electronic retail market. As representative mode...
Few real-world applications of mobile ad hoc networks have been developed or deployed outside the military environment, and no traces of actual node movement in a real ad hoc netw...
Jorjeta G. Jetcheva, Yih-Chun Hu, Santashil PalCha...
We introduce PRM (Probabilistic Resilient Multicast): a multicast data recovery scheme that improves data delivery ratios while maintaining low end-to-end latencies. PRM has both ...
Suman Banerjee, Seungjoon Lee, Bobby Bhattacharjee...
Large systems of agents deployed in a real-world environment face threats to their problem solving performance that are independent of the complexity of the problem or the charact...
High bandwidth requirements in multimedia transmission make the efficient use of limited network resource a challenging task, especially when multiple clients make their requests ...