Difference between revisions of "Total Reward Optimisation"
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Latest revision as of 17:34, 5 September 2020
Definition
Total Reward Optimisation is a concept used in Markov Decision Theory which studies the optimal exercise of options in the context of rewards / losses driven by Markovian stochastic processes
