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New prioritized value iteration for Markov decision processes
2011
Artificial Intelligence Review
The problem of solving large Markov decision processes accurately and quickly is challenging. Since the computational effort incurred is considerable, current research focuses on finding superior acceleration techniques. For instance, the convergence properties of current solution methods depend, to a great extent, on the order of backup operations. On one hand, algorithms such as topological sorting are able to find good orderings but their overhead is usually high. On the other hand, shortest
doi:10.1007/s10462-011-9224-z
fatcat:jteuazrrpnep7lvn4eagqbse7m