In this article, we present a Distributionally Robust Markov Decision Process (DRMDP) approach for addressing the dynamic epidemic control problem.
Jun 24, 2023 · In this paper, we present a Distributionally Robust Markov Decision Process (DRMDP) approach for addressing the dynamic epidemic control problem.
Jun 24, 2023 · In this paper, we present a Distributionally Robust Markov Decision Process (DR- MDP) approach for addressing the dynamic epidemic control ...
People also ask
What is Markov decision process and dynamic programming?
What is the Markov decision process used for?
What do the decisions in Markov decision processes depend on?
What type of problems are Markov decision processes MDPs suitable for Modelling?
Oct 22, 2024 · We propose a decision criterion based on distributional robustness: the optimal strategy maximizes the expected total reward under the most ...
We consider a distributionally robust Partially Observable Markov Decision Process (DR- POMDP), where the distribution of the transition-observation ...
In this paper, we present a Distributionally Robust Markov Decision Process (DRMDP) approach for addressing the dynamic epidemic control problem. Paper · Add ...
Oct 22, 2024 · This paper studies Markov Decision Processes under parameter uncertainty. We adapt the distributionally robust optimization framework, ...
Our results show that DR-POMDP can produce more robust policies under misspecified distributions of transition-observation probabilities as compared to POMDP ...
Dec 23, 2021 · We introduce a new class of distributionally robust optimization problems under decision-dependent ambiguity sets.
Dynamic epidemic control problem instance (s4,a4,z3,u8). Solid line: lower ... El Ghaoui (2005), Robust control of Markov decision processes with.