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Lagerweij, Pascal (author)
Nowadays, reinforcement learning algorithms on Markov decision processes (MDPs) face computational issues when the state space is large. To reduce this state space of a MDP several state aggregation, or clustering, methodologies have been applied. Recently, a new clustering algorithm has been proposed that is able to cluster states from a single...
master thesis 2019