In this paper a Multi-Agent System for Sampling and Rendering Implicit Surfaces is presented (MASSRIS). Previous approaches to pen-and-ink style renderings of implicit surfaces we...
Distributed POMDPs provide an expressive framework for modeling multiagent collaboration problems, but NEXPComplete complexity hinders their scalability and application in real-wo...
Pradeep Varakantham, Jun-young Kwak, Matthew E. Ta...
Reinforcement learning is based on exploration of the environment and receiving reward that indicates which actions taken by the agent are good and which ones are bad. In many app...
Iterative distributed algorithms are studied for computing arithmetic averages over networks of agents connected through memoryless broadcast erasure channels. These algorithms do...
Ruggero Carli, Giacomo Como, Paolo Frasca, Federic...
Mobile agent technology is an emerging technology that allows easier design, implementation, and maintenance of distributed systems. Mobility enables agents to reduce network load,...