On Average Reward Semi-Markov Decision Processes with a General Multichain Structure
From MaRDI portal
Publication:5704176
DOI10.1287/moor.1030.0077zbMath1082.90130OpenAlexW2095807485MaRDI QIDQ5704176
Publication date: 11 November 2005
Published in: Mathematics of Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1287/moor.1030.0077
optimal policymultichain structuredata-transformation methodsemi-Markov decision processes, average reward criterion
Related Items
On undiscounted semi-Markov decision processes with absorbing states ⋮ On discounted AR-AT semi-Markov games and its complementarity formulations ⋮ Computing semi-stationary optimal policies for multichain semi-Markov decision processes ⋮ On the moments and the distribution of the cost of a semi Markov model for healthcare systems ⋮ The quality of life via semi Markov reward modelling ⋮ Optimization of a special case of continuous-time Markov decision processes with compact action set ⋮ Simultaneous determination of production and maintenance schedules using in‐line equipment condition and yield information ⋮ Semi-stationary Equilibrium Strategies in Non-cooperative N-person Semi-Markov Games ⋮ Some reward paths in semi-Markov models with stochastic selection of the transition probabilities ⋮ A Poisson equation for the risk-sensitive average cost in semi-Markov chains ⋮ Semi-Markov decision processes with limiting ratio average rewards ⋮ SEMI-MARKOV DECISION PROCESSES ⋮ Linear Programming and Zero-Sum Two-Person Undiscounted Semi-Markov Games ⋮ Constrained semi-Markov decision processes with ratio and time expected average criteria in Polish spaces ⋮ On zero-sum two-person undiscounted semi-Markov games with a multichain structure ⋮ Ordered Field Property for Semi-Markov Games when One Player Controls Transition Probabilities and Transition Times ⋮ Piecewise Affine Dynamical Models of Petri Nets – Application to Emergency Call Centers*
