A First-Order Approach to Accelerated Value Iteration
Markov decision processes (MDPs) are used to model stochastic systems in many applications. Several efficient algorithms to compute optimal policies have been studied in the literature, including v…
Robust Markov Decision Processes: Beyond Rectangularity
We consider a robust approach to address uncertainty in model parameters in Markov decision processes (MDPs), which are widely used to model dynamic optimization in many applications. Most prior wo…
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