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eess.SY2016
Distributed Learning in the Presence of Disturbances
Chithrupa Ramesh, Marius Schmitt, John Lygeros
We consider a problem where multiple agents must learn an action profile that maximises the sum of their utilities in a distributed manner. The agents are assumed to have no knowle…
eess.SY2016
Performance guarantees for model-based Approximate Dynamic Programming in continuous spaces
Paul N. Beuchat, Angelos Georghiou, John Lygeros
We study both the value function and Q-function formulation of the Linear Programming approach to Approximate Dynamic Programming. The approach is model-based and optimizes over a…