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Quantitative Analysis of -Regular Robust MDPs
Ali Asadi, Krishnendu Chatterjee, Ehsan Kafshdar Goharshady +3
Robust Markov Decision Processes (RMDPs) generalize classical MDPs by allowing uncertainty in transition probabilities and optimizing against their worst-case realization. We consi…
On the Complexity of Discounted Robust MDPs with Uncertainty Sets
Ali Asadi, Krishnendu Chatterjee, Alipasha Montaseri +1
A basic model in sequential decision making is the Markov decision process (MDP), which is extended to Robust MDPs (RMDPs) by allowing uncertainty in transition probabilities and o…
Randomise Alone, Reach as a Team
Léonard Brice, Thomas A. Henzinger, Alipasha Montaseri +2
We study concurrent graph games where n players cooperate against an opponent to reach a set of target states. Unlike traditional settings, we study distributed randomisation: team…