On the Learning Behavior of Adaptive Networks - Part II: Performance Analysis
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Distributed adaptive algorithms are proposed based on incremental and diffusion strategies. Adaptation rules that are suitable for ring topologies and general topologies are described. Both distributed LMS and RLS implementations are considered in order to ...
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In this paper, the multi-agent containment problem is investigated. In particular, we focus our efforts on a continuation of our previous work on leader-follower networks, by imposing a hierarchical structure on the network topology. The main idea is to or ...
Feedback can considerably simplify the task of approaching and achieving the performance limits predicted by information theory. This paper determines some of the potential offered by feedback in a typical sensor network situation that could be termed moni ...
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Our research focuses on the behavioral animation of virtual humans who are capable of taking actions by themselves. We deal more specifically with reinforcement learning methodologies, which integrate in an original way the RL agent and the autonomous virt ...