We present a new hybrid algorithm for local search in distributed combinatorial optimization. This method is a mix between classical local search methods in which nodes take decis...
Abstract—Network coding is emerging as a promising alternative to traditional content distribution approaches in P2P networks. By allowing information mixture in peers, it simpli...
Multi-Agent Agreement problems (MAP) - the ability of a population of agents to search out and converge on a common state - are central issues in many multi-agent settings, from d...
In mobile teamwork environments two basic problems exist: how to discover someone based on a profile (skills, reputations) and how to assess that person’s “credibility” (tr...
In this paper, we investigate the use of hierarchical reinforcement learning (HRL) to speed up the acquisition of cooperative multi-agent tasks. We introduce a hierarchical multi-a...
Rajbala Makar, Sridhar Mahadevan, Mohammad Ghavamz...