1 citations · 1 across the 3 of their papers we have counts for
4 papers
Strongly Polynomial Time Complexity of Policy Iteration for Robust MDPs
Ali Asadi, Krishnendu Chatterjee, Ehsan Goharshady +3
Markov decision processes (MDPs) are a fundamental model in sequential decision making. Robust MDPs (RMDPs) extend this framework by allowing uncertainty in transition probabilitie…
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…
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…
How Bad Is Forming Your Own Multidimensional Opinion?
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Mahdi JafariRaviz +2
Understanding the formation of opinions on interconnected topics within social networks is of significant importance. It offers insights into collective behavior and decision-makin…