Convex Approximations of Random Constrained Markov Decision Processes

V Varagapriya, Vikas Vikram Singh, Abdel Lisser

Constrained Markov decision processes (CMDPs) are used as a decision-making framework to study the long-run performance of a stochastic system. It is well-known that a stationary o…