We introduce an approach to autonomously creating state space abstractions for an online reinforcement learning agent using a relational representation. Our approach uses a tree-b...
Motivated by applications like elections, web-page ranking, revenue maximization etc., we consider the question of inferring popular rankings using constrained data. More specific...
With increasing deployment of systems involving multiple coordinating agents, there is a growing need for diagnosing coordination failures in such systems. Previous work presented...
Meir Kalech, Gal A. Kaminka, Amnon Meisels, Yehuda...
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
In a Cyclic Mobile Ad Hoc Network (CMANET) where nodes move cyclically, we formulate trust management problems and propose the cTrust scheme to handle trust establishment and aggre...