Questions tagged [markov-decision-process]

For questions related to Markov decision processes (MDPs), which model decision making in time-varying and usually stochastic environments.

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How to check if the state of a dynamic program is Markovian or not?

Based on Markov chain context, we say a stochastic process is Markovian if the state at time $t+1$, $S_{t+1}$ just depends on the state in the previous step, that is, $\Pr\left( S_{t+1}|S_1, S_2, \...
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1answer
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Understanding MDP's Dual Linear Program

I'm trying to understand a proof in Puterman'05 (Markov Decision Processes: Discrete Stochastic Systems). My question is within Theorem 6.9.1 pertaining to the equivalence of solutions to the primal (...
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MDP model for a unique system

Let's assume that we have a system where there are two exogenous factors, name $a$ and $b$, that can affect the system state. At each decision epoch either $a$ or $b$ occurs and it is not possible ...
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88 views

Markov Chain - Stationary or Borderline distribution [closed]

I have a Markov chain problem below, where : The problem An urn initially contains 3 black balls and 1 red ball. The balls are indistinguishable to the touch. One ball is randomly drawn. If this ball ...
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37 views

Equilibria in two player, finite horizon, zero sum stochastic game

Suppose we have a two player, finite horizon, zero sum stochastic game (a.k.a. "competitive MDP"). The game is defined over a finite set of state $S$. At each decision epoch $t\in\{1,\dots,T\}$ (for ...
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1answer
85 views

Queuing Theoretic Model with Memory

Consider a telephone company which receives call request at some arrival rate and serves each request with some service rate. This can be modeled using a Poisson Process. However I wish to model the ...
8
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1answer
118 views

Can I use an MDP for a stochastic inventory model when my demand distribution is non-stationary?

Most formulations of Markov Decision Processes for stochastic inventory models I've come across assume a fixed demand distribution. But in my case I have a time series forecast with a non stationary ...
12
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3answers
1k views

Number of aircraft to operate in an airline company

Suppose that an airline company has X planes, in general the companies keep a number of these aircraft (say 80% of X) in reserve in case of hazards. My question is how the airline companies compute ...
12
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1answer
104 views

Model or State Uncertainty in Queueing Model due to uncertain arrival rate

Introduction I am currently modelling a scenario where two queues need to be served by a single server in a non preemptive discipline. I am quite sorted on generating the optimal policy via Value or ...
10
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1answer
218 views

Algorithm for workforce scheduling for call volumes

I am trying to solve a workforce scheduling and optimization problem. Available data: daily level forecasted call volumes, shift schedules, resource utilization at the aggregate level, AHT at ...
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2answers
2k views

Infinite horizon versus finite horizon MDP

When can we approximate a finite horizon MDP with infinite horizon? Can we use infinite horizon stochastic shortest path problem on a directed acyclic graph?
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179 views

For the solution of complex gaming are we to leave behind approximation and fixed algorithms in favor of agents?

For an evolutionary extensive form game is the use of multi-agent systems a necessity or can more traditional approximate Nash equilibria and mean-field interactions suffice? Few games can be ...
12
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1answer
122 views

Open source Markov decision process solvers

Which sources are out there that provide reliable and fast MDP solvers? I prefer that the library is callable from C++ but other languages are fine too. There is indeed an abundance of repositories ...
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184 views

Convergence rate value iteration

Value iteration is one of the most commonly used methods to solve Markov decision processes. Its convergence rate obviously depends on the number of states and actions. However, the convergence rate ...