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cs.AI2025
Lower Bound on Howard Policy Iteration for Deterministic Markov Decision Processes
Ali Asadi, Krishnendu Chatterjee, Jakob de Raaij
Deterministic Markov Decision Processes (DMDPs) are a mathematical framework for decision-making where the outcomes and future possible actions are deterministically determined by…
cs.AI2025
Qualitative Analysis of -Regular Objectives on Robust MDPs
Ali Asadi, Krishnendu Chatterjee, Ehsan Kafshdar Goharshady +2
Robust Markov Decision Processes (RMDPs) generalize classical MDPs that consider uncertainties in transition probabilities by defining a set of possible transition functions. An ob…